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Preprint REVIEW | doi:10.20944/preprints202003.0001.v2

Coronavirus Disease 2019 – COVID-19

Kuldeep Dhama, Khan Sharun, Ruchi Tiwari, Shubhankar Sircar, Sudipta Bhat, Yashpal Singh Malik, Karam Pal Singh, Wanpen Chaicumpa, D. Katterine Bonilla-Aldana, Alfonso J. Rodriguez-Morales

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: emerging coronavirus; 2019-nCoV; SARS-CoV-2; COVID-19; diagnosis; vaccines; therapy; one health

Online: 13 April 2020 (02:29:00 CEST)

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Working Paper ARTICLE

Detection of Coronavirus Disease (COVID-19) Based on Deep Features and Support Vector Machine

Prabira Kumar Sethy, Santi Kumari Behera, Pradyumna Kumar Ratha, Preesat Biswas

Subject: Engineering, Electrical And Electronic Engineering Keywords: coronavirus; COVID-19; diagnosis; deep features; SVM

Online: 22 April 2020 (05:58:22 CEST)

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The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner. The coronavirus spread so quickly between people and approaches 100,000 people worldwide. In this consequence, it is very much essential to identify the infected people so that prevention of spread can be taken. In this paper, the deep feature plus support vector machine (SVM) based methodology is suggested for detection of coronavirus infected patient using X-ray images. For classification, SVM is used instead of deep learning based classifier, as the later one need a large dataset for training and validation. The deep features from the fully connected layer of CNN model are extracted and fed to SVM for classification purpose. The SVM classifies the corona affected X-ray images from others. The methodology consists of three categories of Xray images, i.e., COVID-19, pneumonia and normal. The method is beneficial for the medical practitioner to classify among the COVID-19 patient, pneumonia patient and healthy people. SVM is evaluated for detection of COVID-19 using the deep features of different 13 number of CNN models. The SVM produced the best results using the deep feature of ResNet50. The classification model, i.e. ResNet50 plus SVM achieved accuracy, sensitivity, FPR and F1 score of 95.33%,95.33%,2.33% and 95.34% respectively for detection of COVID-19 (ignoring SARS, MERS and ARDS). Again, the highest accuracy achieved by ResNet50 plus SVM is 98.66%. The result is based on the Xray images available in the repository of GitHub and Kaggle. As the data set is in hundreds, the classification based on SVM is more robust compared to the transfer learning approach. Also, a comparison analysis of other traditional classification method is carried out. The traditional methods are local binary patterns (LBP) plus SVM, histogram of oriented gradients (HOG) plus SVM and Gray Level Co-occurrence Matrix (GLCM) plus SVM. In traditional image classification method, LBP plus SVM achieved 93.4% of accuracy.

Preprint HYPOTHESIS | doi:10.20944/preprints202003.0392.v1

In silico Comparative Genomics of the Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19) and Designing of a Cost-effective RFLP-PCR Based Mass Screening Diagnostic Protocol

Aditya Singh, Prateek Bhatia

Subject: Biology And Life Sciences, Virology Keywords: COVID-19; diagnosis; comparative genomics

Online: 26 March 2020 (14:58:35 CET)

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SARS-CoV 2 also known as COVID-19 is a fast spreading coronavirus related disease that emerged from China in December 2019 and is currently attained the status of a pandemic. There are currently no drugs/ vaccines against the same and moreover limited diagnostic tests to identify the infection. Additionally, these tests are expensive and hence are exclusive for very highly suspected cases of the disease especially in developing countries. This is causing an under-diagnosis which is an alarming state of affairs, as even a single missed SARS-CoV 2 case would spread the disease exponentially and keep it in the community. Through this entirely in silico study, we have developed a cheaper and faster diagnostic method based on simple PCR and restriction enzyme digestion, commonly used in restriction fragment length polymorphism (RFLP) tests. Through comparative genomics, we found the closest neighbours of SARS-CoV 2 then found the highly conserved regions of the genome which were absent in SARS-CoV 1, its closest neighbour. Then we found restriction sites for various enzymes followed by designing of PCR primers flanking those sites. We have found the primer pair to produce a 401 bp amplicon and when digested by SwaI enzyme, it produces two fragments of lengths 216 bp and 185 bp. As an internal control, GAPDH primers are pooled with the SARS-CoV 2 primers as the patient sample will also include human RNA mixed with the viral RNA. This primer pair gives an amplicon of 131 bp and hence a negative sample should show a single band of 131 bp while a positive digested sample will give three bands of 401 bp, 216 bp and 131 bp. The primers are specific to SARS-CoV 2 only and can additionally be used for SYBR green based real time quantification of viral load. The developed tests have not yet been tested in vitro due to stressed out working hours in the only pathogenic virus handling laboratory in our institute. Nonetheless, this study works as a head start for other laboratories to rapidly test the suggested protocols in vitro and make available a cheaper alternative test for SARS-CoV 2 which would especially be beneficial for the lower to middle income countries.

Working Paper CONCEPT PAPER

EUROPEAN ME NETWORK (EUROMENE) Expert Consensus on the Diagnosis, Service Provision and Care of People with ME/CFS in Europe

Luis Nacul, Fraçois Jérôme Authier, Carmen Scheibenbogen, Lorenzo Lorusso, Ingrid Helland, Jose Alegre Martin, Carmen Adella Sirbu, Anne Marit Mengshoel, Olli Polo, Uta Behrends, Henrik Nielsen, Patricia Grabowski, Slobodan Sekulic, Nuno Sepulveda., Fernando Esteves Lopez, Pawel Zalewski, Derek Pheby, Jesus Castro-Marrero, Giorgos K Sakkas, Jonas Bergquist, Enrica Capelli, Ivan Brandslund, John Cullinan, Angelika Krumina, Modra Murovska, Ruud Vermuelen, Eliana Lacerda

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Myalgic Encephalomyelitis/Chronic Fatigue Syndrome; diagnosis; Health services; clinical care

Online: 16 October 2020 (08:58:18 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202003.0184.v2

Serological Test is an Efficient Supplement for Detecting RNA to Confirm SARS-CoV-2 Infection

Ning-Shao Xia, Gui-Qiang Wang, Wen-Feng Gong

Subject: Biology And Life Sciences, Virology Keywords: SARS-CoV-2; diagnosis; antibody; serology; screening

Online: 6 April 2020 (14:09:34 CEST)

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Preprint REVIEW | doi:10.20944/preprints201612.0027.v1

Robots to the Rescue: A Review of Studies on Differential Medical Diagnosis Employing Ontology-Based Chat Bot Technology

Bosede Iyiade Edwards, Idris Oladele Muniru, Adrian David Cheok

Subject: Medicine And Pharmacology, Other Keywords: chatbot technology; ontology-based systems; expert systems; diagnosis; conversational agents; robotics; human-robot interaction; physician-patient relationship; intelligent agents

Online: 6 December 2016 (04:46:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints202002.0029.v1

Cell-Based Blood Biomarkers for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Daniel Missailidis, Oana Sanislav, Claire Allan, Sarah Annesley, Paul Fisher

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Myalgic Encephalomyelitis; Chronic Fatigue Syndrome; mitochondria; Complex V; TORC1; Seahorse respirometry; biomarker; diagnosis; ME/CFS

Online: 3 February 2020 (10:36:05 CET)

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Preprint REVIEW | doi:10.20944/preprints202004.0155.v1

COVID-19 Testing: Challenges, Limitations and Suggestions for Improvement

Emily Hu

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: COVID-19; Coronavirus; False-negative; Nucleic Acid Test; Screening; Diagnostic Accuracy; Missed Diagnosis; Epidemic; Infectious Disease

Online: 9 April 2020 (14:37:56 CEST)

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Preprint REVIEW | doi:10.20944/preprints202003.0343.v1

Emerging Coronavirus Disease (COVID-19), a Pandemic Public Health Emergency with Animal Linkages: Current Status Update

Yashpal Singh Malik, Shubhankar Sircar, Sudipta Bhat, Obli Rajendran Vinodhkumar, Ruchi Tiwari, Ranjit Sah, Ali A. Rabaan, Alfonso J. Rodriguez-Morales, Kuldeep Dhama

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: coronavirus; 2019-nCoV; SARS-CoV-2; animal coronaviruses; COVID-19; bat coronavirus; zoonoses; epidemiology; transmission; diagnosis; antivirals; prevention and control

Online: 23 March 2020 (07:19:35 CET)

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After the appearance of first cases of ‘pneumonia of unknown origin’ in the Wuhan city, China, during late 2019, the disease progressed fast. Its cause was identified as a novel coronavirus, named provisionally 2019-nCoV. Subsequently, an official name was given as SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus-2) by the International Committee on Taxonomy of Viruses (ICTV) study group. The World Health Organization (WHO) named the Coronavirus disease-2019 as COVID-19. The epidemics of COVID-2019 have been recorded over 113 countries/territories/areas apart from China and filched more than 4292 humans, affecting severely around 1,18,326 cases in a short span. The status of COVID-2019 emergency revised by the WHO within 42 days from Public Health International Emergency (January 30, 2020) to a pandemic (March 11, 2020). Nonetheless, the case fatality rate (CFR) of the current epidemic is on the rise (between 2-4%), relatively is lower than the previous SARS-CoV (2002/2003) and MERS-CoV (2012) outbreaks. Even though investigations are on its way, the researchers across the globe have assumptions of animal-origin of current SARS-CoV-2. A recent case report provides evidence of mild COVID-2019 infection in a pet dog that acquired COVID-2019 infection from his owner in Hong Kong. The news on travellers associated spread across the globe have also put many countries on alert with the cancellation of tourist visa to all affected countries and postponement of events where international visits were required. A few diagnostic approaches, including quantitative and differential real-time polymerase chain reaction assays, have been recommended for the screening of the individuals at risk. In the absence of any selective vaccine against SARS-CoV-2, re-purposed drugs are advocated in many studies. This article discourse the current worldwide situation of COVID-2019 with information on virus, epidemiology, host, the role of animals, effective diagnosis, therapeutics, preventive and control approaches making people aware on the disease outcomes.

Preprint CONCEPT PAPER | doi:10.20944/preprints202304.0108.v1

Towards a Biological Definition of Parkinson’s Disease

Günter U. Höglinger, Charles H. Adler, Daniela Berg, Christine Klein, Tiago F. Outeiro, Werner Poewe, Ronald Postuma, Jon Stoessl, Anthony E. Lang

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: Parkinson’s disease; genetics; α-synuclein; neurodegeneration; clinical manifestation; diagnosis

Online: 7 April 2023 (03:54:11 CEST)

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With the growing hope that disease-modifying treatments could target the molecular basis of neurodegenerative diseases even before the onset of symptoms, there is mounting pressure to define disease entities based on pathophysiology rather than on clinical syndromes. The Alzheimer’s disease research community has recently transitioned from diagnostic criteria based on an amnestic syndrome to a purely biomarker-based disease definition, relying on the demonstration of amyloid-beta pathology, tau pathology, and neurodegeneration. In contrast, current diagnostic criteria for Parkinson’s disease still rely on the presence of the well-described clinical syndrome of parkinsonism, with the addition of characteristic motor- and non-motor signs and symptoms. However, there is now unequivocal evidence that Parkinson’s disease starts years before the onset of parkinsonism. Furthermore, neuropathologically defined Lewy body disease is clinically heterogeneous, combining a range of motor, non-motor, dopaminergic and non-dopaminergic features. Finally, clinically defined Parkinson’s disease has diverse underlying etiologies most, but not all, associated with α-synuclein positive Lewy pathology. In light of recent scientific advances, we propose a biologically based definition for the diagnosis of Parkinson's disease, initially to be used for research purposes. The criteria use a three-component ‘G-S-N’ system. The first is documentation of defined gene variants (‘G’), which cause or strongly predispose to PD as the most upstream component. The second is α-synuclein pathology (‘S’), currently defined as pathological α-synuclein deposition in tissue or positive α-synuclein seeding assays. The third is evidence of underlying neurodegeneration (‘N’), currently defined by specific neuroimaging procedures. The associated clinical syndrome (‘C’) is defined by a single high-specificity feature or multiple lower-specificity features. Initiating this transition will enable the field to fuel both basic and clinical research and move closer to the precision medicine required to develop clinically meaningful disease-modifying therapies. We acknowledge current limitations, ethical implications, and the need for prospective validation of this approach.

Working Paper ARTICLE

Distribution of Symptoms, Comorbidities, and Severity Among Patients with COVID-19 by Age Groups, Countries, and Stages of Outbreak: A Systematic Review and Meta-Analysis

Kuan-Fu Chen, Ismaeel Yunusa, Su-Hsun Liu, Chin‐Chieh Wu, Chun‐Fu Yeh, Shih-Tsung Han, Chih-Yang Mao, Dasari Harika, Richard Rothman, Andrew Pekosz

Subject: Computer Science And Mathematics, Probability And Statistics Keywords: COVID-19; sensitivity; specificity; diagnosis; prognosis

Online: 15 January 2021 (12:44:59 CET)

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Preprint ARTICLE | doi:10.20944/preprints201710.0169.v1

A Longitudinal Approach to Biological Psychiatric Research: The PsyCourse Study

Monika Budde, Heike Anderson-Schmidt, Katrin Gade, Daniela Reich-Erkelenz, Kristina Adorjan, Janos L. Kalman, Fanny Senner, Sergi Papiol, Till F. M. Andlauer, Ashley L. Comes, Eva C. Schulte, Farah Klöhn-Saghatolislam , Anna Gryaznova, Maria Hake, Kim Bartholdi, Laura Flatau, Markus Reitt, Silke Quast, Sophia Stegmaier, Milena Meyers, Barbara Emons, Ida Sybille Haußleiter, Georg Juckel, Vanessa Nieratschker, Udo Dannlowski, Max Schmauß, Jörg Zimmermann, Jens Reimer, Sybille Schulz, Jens Wiltfang, Eva Reininghaus, Ion-George Anghelescu, Volker Arolt, Bernhard T. Baune, Carsten Konrad, Andreas Thiel, Andreas J. Fallgatter, Christian Figge, Martin von Hagen, Manfred Koller, Fabian U. Lang, Moritz E. Wigand, Thomas Becker, Markus Jäger, Detlef E. Dietrich, Sebastian Stierl, Harald Scherk, Carsten Spitzer, Here Folkerts, Stephanie H. Witt, Franziska Degenhardt, Andreas J. Forstner, Marcella Rietschel, Markus M. Nöthen, Peter Falkai, Thomas G. Schulze, Urs Heilbronner

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: Schizophrenia; bipolar; psychosis; depression; polygenic risk score; diagnosis; RDoC

Online: 27 October 2017 (11:58:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201903.0128.v1

An Updated Review on the Epidemiology, Pathophysiology, Etiology and Diagnosis of Liver Cirrhosis

Gee Young Geong, Sun Hyung Kang, Chang Min Lee

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Liver cirrhosis; epidemiology; etiology; risk factors; pathophysiology; diagnosis.

Online: 11 March 2019 (09:44:18 CET)

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Preprint REVIEW | doi:10.20944/preprints202004.0201.v1

Detecting the COVID-19

Pravin Pokhrel, Changpeng Hu, Hanbin Mao

Subject: Biology And Life Sciences, Virology Keywords: diagnosis; detection kits; RT-PCR; immunoassay; false negative; false positive; sensitivity; point-of-care (POC)

Online: 12 April 2020 (16:50:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202006.0031.v3

A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset

Mohammad Rahimzadeh, Abolfazl Attar, Seyed Mohammad Sakhaei

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: Deep learning; Convolutional Neural Network; Coronavirus; COVID-19; radiology; CT scan; Medical image analysis; Automatic medical diagnosis; lung CT scan dataset

Online: 5 September 2020 (03:36:20 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints202211.0016.v1

What Primary Care Practitioners Need to Know about the New NICE Guideline for Myalgic Encephalomyelitis/Chronic Fatigue Syndrome in Adults

Caroline Claire Kingdon, Adam Lowe, Charles Shepherd, Luis Nacul

Subject: Public Health And Healthcare, Primary Health Care Keywords: ME/CFS; ME; understanding; diagnosis; management; disabling; stigma

Online: 1 November 2022 (04:27:10 CET)

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Preprint REVIEW | doi:10.20944/preprints201907.0196.v1

Pathological Mechanisms Underlying Myalgic Encephalomyelitis/Chronic Fatigue Syndrome

Daniel Missailidis, Sarah Annesley, Paul Fisher

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: Myalgic Encephalomyelitis, Chronic Fatigue Syndrome, ME/CFS, diagnosis, metabolism, mitochondria, inflammation, immune system, signaling, gut microbiota.

Online: 16 July 2019 (12:41:26 CEST)

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Preprint COMMUNICATION | doi:10.20944/preprints201608.0228.v1

Sweat Gland Biopsy: A Possible Early Diagnostic Tool in the Anderson-Fabry Disease

Giuseppe Pistone, Valentina Caputo, Davide Fattore, Giovanna Tilotta, Maria Rita Bongiorno

Subject: Medicine And Pharmacology, Dermatology Keywords: lysosomal diseases; diagnosis

Online: 30 August 2016 (04:27:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201701.0132.v1

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signal

Wei Zhang, Gaoliang Peng, Chuanhao Li, Yuanhang Chen, Zhujun Zhang

Subject: Engineering, Mechanical Engineering Keywords: intelligent fault diagnosis; convolutional neural networks; domain adaptation; anti-noise

Online: 30 January 2017 (12:15:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0650.v1

CNN-KCL: Automatic Myocarditis Diagnosis using Convolutional Neural Network Combined with K-means Clustering

Danial Sharifrazi, Roohallah Alizadehsani, Javad Hassannataj Joloudari, Shahab Shamshirband, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Afshin Shoaibi, Abdollah Dehzangi, Hamid Alinejad-Rokny

Subject: Computer Science And Mathematics, Computer Science Keywords: Myocarditis; Diagnosis; Convolutional Neural Network; Cardiac MRI; prediction

Online: 26 July 2020 (17:44:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0216.v1

Development of a Field-deployable RT-qPCR Workflow for COVID-19 Detection

Raphael Nyaruaba, Bo Zhang, Caroline Muema, Elishiba Muturi, Greater Oyejobi, Jin Xiong, Bei Li, Zhengli Shi, Caroline Mwaliko, Junping Yu, Xiaohong Li, Hongping Wei

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: COVID-19; SARS-CoV-2; field work; community; diagnosis; rapid detection; inactivation; RT-qPCR

Online: 14 April 2020 (08:41:04 CEST)

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Preprint REVIEW | doi:10.20944/preprints202004.0372.v1

Pathogenesis, Diagnosis and Possible Therapeutic Options for COVID-19

Yusha Araf

Subject: Biology And Life Sciences, Virology Keywords: COVID-19; Diagnosis; Pathogenesis; Treatment; SARS-CoV-2

Online: 21 April 2020 (04:44:40 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201701.0091.v1

Shock Pulse Index and Its Application in the Fault Diagnosis of Rolling Element Bearings

Peng Sun, Yuhe Liao, Jing Lin

Subject: Engineering, Mechanical Engineering Keywords: fault diagnosis; shock pulse index; maximum correlated kurtosis deconvolution; teager energy operator; rolling element bearings

Online: 20 January 2017 (04:12:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0395.v1

Rapid Diagnosis of Capnocytophaga canimorsus Septic Shock in an Immunocompetent Individual Using Real-Time Nanopore Sequencing

Seweryn Bialasiewicz, Tania P.S. Duarte, Son H. Nguyen, Vichitra Sukumaran, Alexandra Stewart, Sally Appleton, Miranda E. Pitt, Arnold Bainomugisa, Amy V. Jennison, Rikki Graham, Lachlan J.M. Coin, Krispin Hajkowicz

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: nanopore sequencing; droplet digital PCR; Capnocytophaga canimorsus; diagnosis; sepsis

Online: 16 November 2018 (09:45:38 CET)

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Preprint REVIEW | doi:10.20944/preprints202003.0103.v2

MERS-CoV and SARS-CoV Infections in Animals: A Systematic Review and Meta-Analysis of Prevalence Studies

D. Katterine Bonilla-Aldana, María C. Cardona-Trujillo, Alejandra García-Barco, Yeimer Holguin-Rivera, Isabella Cortes-Bonilla, Hugo A. Bedoya-Arias, Leidy Jhoana Patiño-Cadavid, Juan David Tamayo-Orozco, Alberto Paniz-Mondolfi, Lysien I. Zambrano, Kuldeep Dhama, Ranjit Sah, Ali A. Rabaan, Graciela J. Balbin-Ramon, Alfonso J. Rodriguez-Morales

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Coronavirus; SARS-CoV; MERS-CoV; serology; molecular diagnosis; reservoir; public health

Online: 19 May 2020 (04:13:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints201710.0117.v1

Trends in Computer-Aided Diagnosis Using Deep Learning Techniques: A Review of Recent Studies on Algorithm Development

Bosede Iyiade Edwards, Nosiba Hisham Osman Khougali, Adrian David Cheok

Subject: Computer Science And Mathematics, Data Structures, Algorithms And Complexity Keywords: computer-aided diagnosis; CAD algorithms; deep neural networks; medical diagnosis; review

Online: 17 October 2017 (11:57:17 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201704.0166.v1

Near-Infrared Spectroscopy-based Detector in Application of Intensive Care Unit Clinics

Ting Li, Fulin Zhong, Zishan Deng, Boan Pan, Zebin Li

Subject: Medicine And Pharmacology, Other Keywords: optoelectronic sensor; near-infrared spectroscopy; thrombus diagnosis; shock monitoring; fatigue evaluation

Online: 26 April 2017 (06:05:07 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202002.0156.v1

Clinical Reports on Early Diagnosis of Novel Coronavirus (2019-nCoV) Pneumonia in Stealth Infected Patients

Yang Zhou, Le Yang, Ming Han, Mingqiang Huang, Xuedong Sun, Weidong Zhen, Junqing Xu, Jinhong Wang, Wei Han

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: 2019-nCoV; Chest CT; Epidemic; Diagnosis

Online: 12 February 2020 (09:14:56 CET)

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Preprint ARTICLE | doi:10.20944/preprints202005.0285.v1

Clinical, Laboratory, and Radiological Features Indicative of Novel Coronavirus Disease (COVID-19) in Emergency Departments – A Multicentre Case-Control Study in Hong Kong

Rex Pui Kin Lam, Kevin Kei Ching Hung, Eric Ho Yin Lau, Chun Tat Lui, Kin Ling Chan, Chin San Leung, Ion Wa Wong, Kin Wa Wong, Colin A. Graham, Patrick Chiu Yat Woo

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: COVID-19; SARS-CoV-2; emergency department; early diagnosis; case-control studies

Online: 17 May 2020 (08:27:12 CEST)

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Preprint REVIEW | doi:10.20944/preprints201707.0003.v1

Chronic Wasting Disease: Evolution of Diagnostic Testing for a Naturally Occurring Prion Disease

Nicholas J. Haley, Juergen A. Richt

Subject: Medicine And Pharmacology, Veterinary Medicine Keywords: prion, cervids, PMCA, RT-QuIC, diagnosis

Online: 3 July 2017 (17:34:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202004.0469.v1

Pandemic Coronavirus Disease (COVID-19): Challenges and A Global Perspective

Yashpal Singh Malik, Naveen Kumar, Shubhankar Sircar, Rahul Kaushik, Sudipta Bhatt, Kuldeep Dhama, Parakriti Gupta, Kapil Goyal, Mini P. Singh, Ujjala Ghoshal, Mohamed Ezzat Mahmoud El Zowalaty, O.R. Vinodh Kumar, Mohd. Iqbal Yatoo, Ruchi Tiwari, Mamta Pathak, Shailesh Kumar Patel, Ranjit Sah, Alfonso J. Rodriguez-Morales, Balasubramanian Ganesh, Prashant Kumar, Raj Kumar Singh

Subject: Biology And Life Sciences, Virology Keywords: severe acute respiratory syndrome coronavirus-2; COVID-2019; epidemiology; pathobiology; clinical profile; phyloanalysis; artificial intelligence; diagnosis; vaccines; therapeutics

Online: 26 April 2020 (08:15:23 CEST)

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Preprint REVIEW | doi:10.20944/preprints202004.0526.v1

A snapshot on COVID-19: A review

Mahfuz Al Mamun, Kaiissar Mannoor, Tahmina Shirin, Meerjady Sabrina Flora, Firdausi Qadri, Lili Ren, Jianwei Wang

Subject: Biology And Life Sciences, Virology Keywords: COVID-19; SARS-CoV-2; origin; transmission; epidemiology; signs and symptoms; diagnosis; treatment and prevention.

Online: 30 April 2020 (10:47:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0004.v1

Data–Driven Fault Diagnosis of a Wind Farm Benchmark Model

Silvio Simani, Paolo Castaldi, Saverio Farsoni

Subject: Engineering, Control And Systems Engineering Keywords: fault diagnosis; analytical redundancy; fuzzy logic; neural networks; data-driven approaches; nonlinear geometric approach; wind farm benchmark simulator

Online: 1 May 2017 (07:53:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0011.v1

Critical Nutrient Concentrations and DRIS Norms for Pinus patula

Agustina Sánchez-Parada, Miguel Ángel López-López, Armando Gómez-Guerrero, Marlín Pérez-Suárez

Subject: Biology And Life Sciences, Forestry Keywords: plant nutrition; chemical fertilization; nutrient diagnosis; forest plantation; foliar nutrients

Online: 2 January 2018 (10:25:46 CET)

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Preprint ARTICLE | doi:10.3390/sci2040061

A Hybrid Approach: Dynamic Diagnostic Rules for Sensor Systems in Industry 4.0 Generated by Online Hyperparameter Tuned Random Forest

Ahlam Mallak, Madjid Fathi

Subject: Engineering, Industrial And Manufacturing Engineering Keywords: industry4.0; fault detection; fault diagnosis; random forest; diagnostic graph; distributed diagnosis; model-based; data-driven; hybrid approach; hydraulic test rig

Online: 24 September 2020 (00:00:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202008.0516.v1

A Systematic Review on Coronavirus Disease 2019 (COVID-19)

Hira Karim, Muhammad Shahzeb Khan

Subject: Medicine And Pharmacology, Epidemiology And Infectious Diseases Keywords: Coronavirus, sequence homology, transmission, virology, diagnosis, virus control, vaccination.

Online: 24 August 2020 (09:31:38 CEST)

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Emerging and reemerging pathogens is a global challenge for public health. Recently, a novel coronavirus disease emerged in Wuhan, Hubei province of China, in December 2019. It is named COVID-19 by World Health Organization (WHO). It is known to be caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that affects the lower respiratory tract and manifests as pneumonia in humans. Coronaviruses (CoVs) are structurally more complicated as compared to other RNA viruses. This viral epidemic has led to the deaths of many, including the elderly or those with chronic disease or compromised immunity. Viruses cause infection and diseases in humans of varying degrees, upper respiratory tract infections (URTIs) cause common cold while lower respiratory tract infections induce pneumonia, bronchitis, and even severe acute respiratory syndrome (SARS). The costs of COVID-19 are not limited. It equally affects all the medical, sociological, psychological, and economic aspects globally. This is regarded as the third deadly outbreak in the last two decades after Severe Acute Respiratory Syndrome SARS (2002–2003) and Middle East Respiratory Syndrome MERS (2012). Based on the sequence homology of SARS-CoV-2, different animal sources including bats, snakes, and pangolins have been reported as potential carriers of this viral strain. Real-time RT-PCR represents the primary method for the diagnosis of new emerging viral strain SARS-CoV-2. The transmission dynamics suggest that SARS-CoV-2 is transmitted from person-to-person through direct contact or coughing, sneezing, and by respiratory droplets. Several anti-viral treatments including lopinavir/ritonavir, remdesivir, chloroquine phosphate, and abidor are also suggested with different recommendations and prescriptions. Protective and preventive strategies as suggested by various health organization i.e. WHO and US Center for Disease Control and Prevention (CDC) must be adopted by everyone. This review covers the important aspects of novel COVID-19 including characteristics, virology, symptoms, diagnostics, clinical aspects, transmission dynamics, and protective measures of COVID-19.

Preprint CONCEPT PAPER | doi:10.20944/preprints202004.0213.v1

Coronavirus ORF1ab Polyprotein Associated Nsp16 Protein is a RlmE Methyltransferase and May Methylate 21S Mitochondrial rRNA of Host Cells Inhibiting Protein Synthesis

Asit Kumar Chakraborty

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: covid-19; rlmE MTase; new drug target; corona diagnosis; corona pandemic

Online: 13 April 2020 (12:33:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0253.v1

3D Visualization Solution to Building Energy Diagnosis for Energy Feedback

Tae-Keun Oh, Donghwan Lee, Minsoo Park, Gichun Cha, Seunghee Park

Subject: Engineering, Energy And Fuel Technology Keywords: energy diagnosis; close-range photogrammetry; energy efficiency; visualization of information; energy feedback

Online: 17 May 2018 (13:31:05 CEST)

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Preprint REVIEW | doi:10.20944/preprints201801.0167.v1

Molecular imaging modalities using nanoprobes for cancer diagnosis

Daryoush Shahbazi-Gahrouei, Pegah Moradi Khaniabadi, Bita Moradi khaniabadi, Saghar Shahbazi-Gahrouei, Mona Fazel

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: molecular imaging; nanoparticles; cancer diagnosis; imaging modalities

Online: 18 January 2018 (05:12:13 CET)

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Preprint ARTICLE | doi:10.20944/preprints202007.0124.v1

Data-driven Analytical Models of COVID-2019 for Epidemic Prediction, Clinical Diagnosis, Policy Effectiveness and Contact Tracing: A Survey

Ying Mao, Susiyan Jiang, Daniel Nametz

Subject: Medicine And Pharmacology, Pulmonary And Respiratory Medicine Keywords: COVID-19; Epidemic Prediction; Clinical Diagnosis; Policy Effectiveness; Contact Tracing

Online: 7 July 2020 (10:06:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202102.0488.v1

Machine Learning Model for Diagnosing the Stage of Liver Fibrosis in Patients With Chronic Viral Hepatitis C

Valeriy Tsvetkov, Ivan Tokin, Dmitriy Lioznov

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Hepatitis C virus; Chronic viral hepatitis C; Liver fibrosis; Liver cirrhosis; Diagnosis of liver fibrosis; Machine learning

Online: 22 February 2021 (15:31:11 CET)

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Preprint ARTICLE | doi:10.20944/preprints202107.0604.v2

RT-qPCR Diagnostics: The “Drosten” Sars-Cov-2 Assay Paradigm

Stephen Bustin, Sara Kirvell, Jim F Huggett, Tania Nolan

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: COVID-19; reverse transcription; qPCR; SARS-CoV-2; molecular diagnosis

Online: 3 August 2021 (15:34:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201711.0193.v1

A Quantum Hybrid PSO Combined with Fuzzy K-NN Approach to Feature Selection and Cell Classification in Cervical Cancer Detection

Abdullah M. Iliyasu, Chastine Fatichah

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: computational intelligence; quantum hybrid intelligent systems; quantum machine learning; medical image processing; disease diagnosis; Fuzzy k-NN; Quantum-behaved PSO; cervical smear images; cancer detection

Online: 30 November 2017 (07:21:00 CET)

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Preprint ARTICLE | doi:10.20944/preprints201712.0106.v2

Chemical Vapour Deposition Graphene Field-Effect Transistors for Detection of Human Chorionic Gonadotropin Cancer Risk Biomarker

Carrie Haslam, Samar Damiati, Toby Whitley, Paul Davey, Emmanuel Ifeachor, Shakil A. Awan

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: graphene; electrochemical biosensors; cancer; diagnosis; electrical detection; Alzheimer’s disease; dementia; neurodegenerative disorders; cardiovascular; blood biomarkers; antibodies; proteins

Online: 2 January 2018 (05:21:45 CET)

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Preprint ARTICLE | doi:10.20944/preprints201808.0130.v1

A New Structural Health Monitoring Strategy Based on PZT Sensors and Convolutional Neural Network

Mario A. de Oliveira, Andre V. Monteiro, Jozue Vieira Filho

Subject: Engineering, Mechanical Engineering Keywords: SHM; Electromechanical Impedance; Piezoelectricity; Intelligent Fault Diagnosis; Machine Learning; CNN; Deep Learning

Online: 6 August 2018 (21:51:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201709.0124.v1

Evaluation of Electrical Tree Degradation in Cable Insulation using Weibull Process of Propagation Time

Donguk Jang, Seonghee Park

Subject: Engineering, Electrical And Electronic Engineering Keywords: partial discharge; Weibull distribution; XLPE cable; electric tree; diagnosis

Online: 25 September 2017 (16:47:35 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0223.v1

Estimate e-Golf Battery State Using Diagnostic Data and a Digital Twin

Lukas Merkle, Michael Pöthig, Florian Schmid

Subject: Engineering, Automotive Engineering Keywords: UDS-Diagnosis; Battery Twin; Data Logger; SOH

Online: 12 January 2021 (14:26:14 CET)

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Preprint REVIEW | doi:10.20944/preprints201912.0002.v1

Point-of-Care Urine LAM Tests for Tuberculosis Diagnosis: A Mini-Review

Michelle A. Bulterys, Bradley Wagner, Maël Redard-Jacot, Anita Suresh, Nira R. Pollock, Emmanuel Moreau, Claudia M. Denkinger, Paul K. Drain, Tobias Broger

Subject: Medicine And Pharmacology, Pulmonary And Respiratory Medicine Keywords: tuberculosis (TB); diagnostics; lipoarabinomannan (LAM); urinary test; diagnosis

Online: 2 December 2019 (04:18:41 CET)

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Preprint ARTICLE | doi:10.20944/preprints202003.0361.v1

Strategy for Disease Diagnosis, Progression Prediction, Risk Group Stratification and Treatment – Case of COVID-19

Mauno Vihinen

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: COVID-19; SARS-CoV-2; pathogenicity model; diagnosis; progression prediction; poikilosis

Online: 24 March 2020 (14:43:24 CET)

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Preprint ARTICLE | doi:10.20944/preprints201709.0100.v1

Cut-off Values of Hematologic Parameters to Predict the Number of Alpha Genes Deleted in Subjects with Deletional Alpha Thalassemia

Diego Velasco-Rodríguez, Carlos Blas, Juan-Manuel Alonso-Domínguez, Gala Vega, Carlos Soto, Aránzazu García-Raso, Pilar Llamas-Sillero

Subject: Medicine And Pharmacology, Hematology Keywords: alpha; thalassemia; deletional; cut-off; number of genes; microcytic anemia; differential diagnosis

Online: 21 September 2017 (04:47:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0616.v1

An Intelligent In-Shoe System for Real-Time Gait Monitoring and Analysis

Jiaen Wu, Kiran Kuruvithadam, Alessandro Schaer, Richie Stoneham, George Chatzipirpiridis, Chris Easthope Awai, Gill Barry, James Martin, Salvador Pané, Bradley J Nelson, Olgaç Ergeneman, Hamdi Torun

Subject: Engineering, Automotive Engineering Keywords: gait diagnosis; wearable device; graphical descriptor; real-time monitoring; tele-rehabilitation; digital biomarkers

Online: 25 March 2021 (13:52:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0605.v1

COVID-19 Diagnosis from chest CT Scans: A Weakly Supervised CNN-LSTM Approach

Mustafa Kara, Zeynep Öztürk, Sergin Akpek, Ayşegül Turupcu

Subject: Computer Science And Mathematics, Algebra And Number Theory Keywords: deep learning; computed tomography; image classification; COVID-19; medical image analysis; pneumonia; CNN, LSTM, medical diagnosis

Online: 25 May 2021 (10:32:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201808.0020.v1

Clinical Utility of Expanded Carrier Screening: Results-Guided Actionability and Outcomes

Katherine Johansen Taber, Kyle A. Beauchamp, Gabriel Lazarin, Dale Muzzey, Aishwarya Arjunan, James D. Goldberg

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: expanded carrier screening; prenatal diagnosis; pregnancy management; clinical utility; at-risk couple

Online: 1 August 2018 (12:07:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202101.0471.v1

Fluorescent Aptamers for Detection and Treatment of Pathogenic Bacteria and Cancer

Aarushi Sharma, Grace Ramena

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: aptamer; aptasensor; diagnosis; imaging; sequencing; therapeutics; probes; fluorescence; pathogenic bacteria; cancer cells; monoclonal antibodies; SELEX; nucleic acids

Online: 25 January 2021 (10:18:16 CET)

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Preprint TECHNICAL NOTE | doi:10.20944/preprints201711.0122.v1

On Spatial Relations for Non-small Cells Lungs Cancer Interpretation

Nadeem Salamat, V. B. Surya Prasath, Malik M. Saad Missen

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: computer aided diagnosis; topological relations; TNM system; non-small Cells; lung cancer

Online: 20 November 2017 (07:57:32 CET)

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Preprint COMMUNICATION | doi:10.20944/preprints202011.0298.v1

Emergence of the First Lumpy Skin Disease Outbreak Among Livestock in the Republic of Kazakhstan in 2016.

Arman Issimov, Nurkuisa Rametov, Kuandyk Zhugunissov, Lespek Kutumbetov, Assylbek Zhanabayev, Nurlybay Kazhgaliyev, Birzhan Nurgaliyev, Malik Shalmenov, Gaisa Absatirov, Laura Dushayeva, Aliya Akhmetaliyeva, Abzal Kereyev, Peter White

Subject: Biology And Life Sciences, Anatomy And Physiology Keywords: control measures; diagnosis; epidemiological data; Kazakhstan; lumpy skin disease

Online: 10 November 2020 (10:13:28 CET)

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Preprint REVIEW | doi:10.20944/preprints201903.0282.v1

Review of Current Evidence in the etiopathogenesis, epidemiology, diagnosis and management of acute pancreatitis

Samantha Varley, Kirsten Rossi, Meghan Murray, Alissa Nichole

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: pancreatitis; epidemiology; diagnosis; complications; treatment; prognosis.

Online: 29 March 2019 (12:13:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0450.v2

False-negative Molecular Diagnosis of SARS-CoV-2 in Samples with Amplification Inhibitors

Marcelo Fruehwirth, Açucena Veleh Rivas, Andressa Faria Rahyn Fitz, Aline Cristiane Cechinel Assing Batista, Cleypson Vinicius Silveira, Robson Michael Delai

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: COVID-19; rRT-PCR; dilution; viral diagnosis; RNA extraction

Online: 16 October 2020 (11:48:36 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0040.v1

Coronavirus (Covid-19) Pandemic: Outbreak, Current Scenario, and Impact on Human Physiology in Pakistan

Komal Jabeen, Muhammad Basit Husnain Haider, Zeshan Haider, Sultan Ali, Ali Hassan, Adnan Khan Niazi

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Coronaviruses; COVID-19; Pakistan; current situation; human physiology; diagnosis; treatment

Online: 2 September 2020 (09:59:45 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0246.v1

Early Identification of Root Rot Disease by Using Hyperspectral Reflectance: The Case of Pathosystem Grapevine/Armillaria

Federico Calamita, Hafiz Ali Imran, Loris Vescovo, Mohamed Lamine Mekhalfi, Nicola La Porta

Subject: Biology And Life Sciences, Agricultural Science And Agronomy Keywords: agriculture 4.0; chlorophyll; early diagnosis; fungal tree pathogens; mycology; plant disease; plant pathology; smart viticulture; vegetation indices; wine grapes

Online: 11 May 2021 (14:21:25 CEST)

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The Armillaria genus represents one of the most common causes of chronic root rot disease in woody plants. The disease damage prompt assessment is crucial for pest management. However, the disease detection current methods are limited at the field scale. Therefore, an alternative approach that can enhance or supplement traditional techniques is needed. In this study, we investigated the potential of hyperspectral methods to identify the changes between fungi-infected and uninfected plants of Vitis vinifera in early detecting the Armillaria disease. The hyperspectral imaging sensor Specim-IQ was used to acquire images of leaves of the Teroldego Rotaliano grapevine cultivar. We analysed three groups of plants: healthy, asymptomatic, and diseased. Highly significant differences were found in the Near infrared (NIR) spectral region with a decreasing pattern from healthy to diseased plants attributable to internal leaf structure changes. Asymptomatic plants emerged from the other groups due to a smaller reflectance in the red-edge spectrum (around 705nm). Hypothetically associated with the presence of secondary metabolites involved in plant defence strategy. Furthermore, significant differences were observed in the wavelengths close to 550 nm in diseased plants versus asymptomatic. We used linear discriminant analysis from a machine learning context to classify the leaves based on the most significant variables (vegetation indices and single bands), with resulting overall accuracies of 85% and 84% respectively in healthy vs. diseased and healthy vs. asymptomatic. To our knowledge, this study represents the first report on the possibility of using hyperspectral data for root rot disease diagnosis on woody plants. Although further validation studies are required, it appears that the spectral reflectance technique, possibly implemented on unmanned aerial vehicles (UAV), could be a promising tool for a cost-effective, non-destructive method of Armillaria disease early diagnosis and mapping in the field, contributing to a significant step forward in precision viticulture.

Preprint REVIEW | doi:10.20944/preprints202302.0074.v3

Lumpy Skin Disease: A Comprehensive Review on Virus Biology, Pathogenesis, and Sudden Global Emergence

Gaurav Moudgil, Jatin Chadha, Lavanya Khullar, Sanjay Chhibber, Kusum Harjai

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Lumpy skin disease virus; lumpy skin disease; epidemiological footprint and multi-country outbreak; transboundary spread and disease resurgence; diagnosis and vaccines

Online: 13 February 2023 (14:44:26 CET)

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Preprint ARTICLE | doi:10.20944/preprints202208.0042.v1

Serological and Oncoinformatic Analysis of HbA1c as a Prognostic Biomarker in Screening the Risks of Different Cancers among the Male T2D Patients of Bangladesh

Md. Al Hasibuzzaman, Salauddin Al Azad, Md. Abdur Rashid Mia, Samarth Islam, Sharmin Ahmed, Afsana Masud, Samiur Rahman, Arysha Alif Khan, Fahmida Hoque Rimti, Ashrak Shad Pyash, Partha Biswas, Homayra Rahman Shoshi, Fariha Hoque Rimu, Ramiza Nausheen Zaman, Md. Ataur Rahman, Bonglee Kim

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: HbA1c biomarker; type 2 diabetes; cancer risk profiling; serological diagnosis; oncoinformatic screening; genetic overexpression; promoter methylation

Online: 2 August 2022 (06:04:42 CEST)

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This research aimed to figure out the applications of HbA1c protein and HbA1 gene as the prognostic biomarkers for assessing the risks of different cancers among male T2D patients in Bangladesh considering their serological and oncoinformatic parameters. Depending on the concentrations of HbA1c (%) of the T2D patients (n=300), their individual FBS (mmol/L); THABF (mmol/L); creatinine (mg/dl); SC (mg/dl); STGs (mg/dl); HDLC (mg/dl); and LDLC (mg/dl) were estimated. The values of the patients were compared with the control (n=60) group as the serological analysis. Besides, HbA1 gene (encoding hBA1c protein) overexpression and promotor methylation responsible for BLCA, BRCA, CHOL, COAD, LUAD, LUSC, PAAD, and PRAD cancers in the male T2D patients were profiled as the oncoinformatic parameters based on the sample types; caner stages; racial footprints; gender; age; nodal metastasis; p53 methylations; pancreatitis; diabetes status; smoking behaviors; and overall/disease-free survivability. Finally, the ‘HbA1 gene strings’ responsible for genetic coexpression; endophytic vesicle regulation; antioxidant regulation; oxygen species metabolic regulation; and gene-mediated response to the reactive oxygen molecules were studied comprehensively. A strong correlation between BMI and FBS was observed in both the patients and the control (P<0.0001). Similarly, the values of FBS, THABF, and creatinine resulted in equal significance (P<0.0001) as compared to the HbA1c concentrations of all the T2D and control individuals. The SC, STGs, HDLC, and LDLC concentrations regulated ardently in both the control (P<0.0001), and patients group (P<0.0001), while HbA1c ranged from 3.8-5.8%, and 5.11-15.8% respectively. HbA1 gene is found downregulating with cancer progressed in most of the oncoinformatic parameters. According to the DA, CS, EI, CE, PC, NC, GF, H, and AT profiles; the HbA1 gene interacts with 8 other genes responsible for creating a protein cluster comprising- AHSP, HBA1, HBA2, HBB, HBD, HBE1, HBG2, RPS12, and RPS19 proteins for cancer formation. To recapitulate, HbA1c protein and HbA1 gene can be used as the prognostic serological and molecular biomarkers respectively for determining the risks of cancers among male chronic T2D patients.

Preprint ARTICLE | doi:10.20944/preprints201809.0206.v1

An analysis on Dual Diagnosis Revealed a Possible deviation of Schizophrenia Polygenic Risk Score by Mexican Amerindian Ancestry

Jose Jaime Martínez-Magaña, Thelma Beatriz Gonzalez-Castro, Alma Delia Genis-Mendoza, Carlos Alfonso Tovilla-Zarate, Isela Juarez-Rojop, Erasmo Saucedo-Uribe, Nuria Lanzagorta, Michael Escamilla, Luis Macías-Kauffer, Humberto Nicolini

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: Mexican Amerindian, Dual diagnosis, polygenic risk scores, psychiatric diseases, bipolar disorder, schizophrenia, substance use disorder

Online: 12 September 2018 (01:20:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0188.v1

A Fault Diagnosis Scheme of Gear Vibration Signal Based on Variational Mode Decomposition and Detrended Fluctuation Analysis

Sinian Hu, Han Xiao, Cancan Yi

Subject: Engineering, Mechanical Engineering Keywords: variational mode decomposition; detrended fluctuation analysis; heavy gearbox; fault diagnosis

Online: 16 April 2018 (05:35:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0147.v1

Whole Genome Alignment Based Development of Molecular Marker for Detecting Leptosphaeria maculans and Leptosphaeria biglobosa, the Causal Agent of Blackleg Disease in Brassicas

Mostari Jahan Ferdous, Mohammad Rashed Hossain, Denison Michael Immanuel Jesse, Jong-In Park, Hee-Jeong Jung, Hoy-Taek Kim, Ill-Sup Nou

Subject: Biology And Life Sciences, Biology And Biotechnology Keywords: blackleg; brassica; diagnosis; effector; genome alignment; leptosphaeria biglobosa; leptosphaeria maculans; marker; PCR

Online: 13 October 2019 (16:08:55 CEST)

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Preprint REVIEW | doi:10.20944/preprints202108.0058.v1

Genetic and Epigenetic Variations of SARS-Cov-2 and Host Genes and Their Impact in Covid-19 Pandemic

Muhammed Elayadeth Meethal, Punnoth Poonkuzhi Naseef, Mohamed Saheer Kuruniyan, Mansoor C Abdulla, Shyju Ollakkod, Shahul Ebrahim, Godavarma Girish Varma

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: SARS-CoV-2; COVID-19; Phylogenetic analysis; Next generation sequence analysis; Virus-Host interaction; Immunology; Antiviral agents; Vaccine; Virus diagnosis

Online: 2 August 2021 (16:17:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202201.0309.v1

Desertification in Spain: A Sound Diagnosis Unfollowed by Solutions

Jaime Martínez-Valderrama, Gabriel del Barrio, Maria E. Sanjuán, Emilio Guirado, Fernando T. Maestre

Subject: Environmental And Earth Sciences, Environmental Science Keywords: combat desertification; diagnosis; socioeconomic factors; convergence of evidence; agriculture

Online: 20 January 2022 (14:36:32 CET)

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Preprint REVIEW | doi:10.20944/preprints201801.0001.v2

The Identification, Management, and Control of Scabies in Australian Aboriginal and Torres Strait Islander Communities

Timothy Mettam

Subject: Medicine And Pharmacology, Dermatology Keywords: Aboriginal; Australia; control; diagnosis; identification; prevention; scabies; sarcoptes scabiei; Torres Strait Islander; treatment

Online: 8 January 2018 (16:00:59 CET)

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Preprint REVIEW | doi:10.20944/preprints202105.0075.v1

Diagnosis of Schistosoma Infection in Non-Human Animal Hosts: A Systematic Review and Meta-Analysis

Song Liang, Keerati Ponpetch, Yi-Biao Zhou, Jia-Gang Guo, Berhanu Erko, J. Russell Stothard, M. Hassan Murad, Xiao-Nong Zhou, Fadjar Satrija, Joanne P. Webster, Justin Remais, Juerg Utzinger, Amadou Garba

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: Schistosomiasis; diagnosis; non-human hosts; surveillance; systematic review; meta-analysis

Online: 6 May 2021 (12:04:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202004.0418.v1

Introducing the Q-strip to Quantitatively Measure Nocturnal Perspiration as a Parameter and Predictor: A Review of Literature

Kasper Jolink, Loussi Bedrosian

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: Diagnosis; Health sensing system; Nocturnal perspiration; Parameter; Pathology; Predictor; Q-strip; Subjective measurement; Sweat pattern; Symptoms; Prodromal; biomarker

Online: 23 April 2020 (15:26:39 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202211.0198.v1

Finding the Proportion of Females with Autistic Spectrum Disorder Who Develop Anorexia Nervosa, the True Prevalence of Female ASD and Its Clinical Significance.

Robert McCrossin

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: autistic spectrum disorder; anorexia nervosa; female; prevalence; Bayes’ Theorem; diagnosis; management; generalized joint hypermobility.

Online: 10 November 2022 (11:02:35 CET)

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Preprint ARTICLE | doi:10.20944/preprints201712.0026.v2

Fault Diagnosis of Induction Machines in Transient Regime Using Current Sensors with an Optimized Slepian Window

Jordi Burriel-Valencia, Ruben Puche-Panadero, Javier Martinez-Roman, Angel Sapena-Bañó, Manuel Pineda-Sanchez

Subject: Engineering, Electrical And Electronic Engineering Keywords: fault diagnosis; condition monitoring; short time Fourier transform; slepian window; prolate spheroidal wave functions; discrete prolate spheroidal sequences; time-frequency distributions

Online: 6 December 2017 (05:34:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints201909.0269.v1

Contesting the Geneticization Thesis in Human Reproduction: Dealing with Spiral Shaped Processes and Technoscientific Imaginaries

Ido Alon, Jose Guimon, Rosa Urbanos-Garrido

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: assisted reproductive technologies; In-Vitro Fertilization; Delphi; geneticization; Preimplantation Genetic Diagnosis; diffusion of innovation

Online: 24 September 2019 (05:32:19 CEST)

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Preprint REVIEW | doi:10.20944/preprints202009.0565.v1

Immunobiochemical Aspects in the Pathogenesis, Diagnosis, and Management of Novel Coronavirus (SARS-Cov-2) Infection

Venkata Bharat Kumar Pinnelli, Mangala N. Sirsikar, W. Vishnu Vandana, Shrabani Mohanty, Wilma Delphine Silvia CR, Ranjan Kumar Mohapatra, Sabitha Vadakedath, Venkataramana Kandi

Subject: Biology And Life Sciences, Virology Keywords: Coronavirus; SARS-CoV-2; COVID-19; Immunobiochemical aspects; pathogenesis; diagnosis; management

Online: 24 September 2020 (04:39:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201801.0102.v1

Research of Planetary Gear Fault Diagnosis Based on Permutation Entropy of CEEMDAN and ANFIS

Moshen Kuai, Gang Cheng, Yusong Pang, Yong Li

Subject: Engineering, Mechanical Engineering Keywords: Planetary gear; Fault diagnosis; CEEMDAN; Permutation entropy; ANFIS

Online: 11 January 2018 (11:54:12 CET)

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Preprint REVIEW | doi:10.20944/preprints202006.0211.v1

Mass Antibody Detection: Can It be An Avenger for Infectivity War against COVID-19

Sarfaraz Ahmad Ejazi, Sneha Ghosh, Nahid Ali

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: COVID-19; diagnosis; ELISA; RDT; point-of-care test; antibody; proteins

Online: 17 June 2020 (08:36:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0493.v1

Diabetic Retinopathy Diagnostics from Retinal Images based on Deep Convolutional Networks

G. Arun Sampaul Thomas, Y. Harold Robinson, E. Golden Julie, Vimal Shanmuganathan, Yunyoung Nam, Seungmin Rho

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Convolutional Neural Networks; Dental Diagnosis; Image Recognition; Diabetic Retinopathy detection

Online: 31 May 2020 (18:55:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0283.v1

Impact of Protracted Displacement on Delay in the Diagnosis Associated with Treatment Outcomes: A Cross-sectional Study in Internally Displaced Tuberculosis Patients of Pakistan

Faman Ullah Khan, Faiz Ullah Khan, Khezar Hayat, Jie Chang, Muhammad Kamran, Asad Khan, Usman Rashid Malik, Asif Khan, Yu Fang

Subject: Public Health And Healthcare, Public Health And Health Services Keywords: Tuberculosis; Delay in diagnosis; Treatment outcomes; Internally displaced TB patients.

Online: 16 September 2021 (12:26:00 CEST)

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Preprint REVIEW | doi:10.20944/preprints202002.0325.v1

Noninvasive Biological Samples to Detect and Diagnose Infections due to Trypanosomatidae Parasites: A Systematic Review and Meta-Analysis

Denis Sereno, Mohammad Akhoundi, Kourosh Sayehmri, Asad Mizraei, Philippe Holzmuller, Veerle Lejon, Etienne Waleckx

Subject: Biology And Life Sciences, Parasitology Keywords: Leishmaniases; Chagas disease; Human African Trypanosomiasis; Animal trypanosomiasis; Diagnosis; non-invasive; Meta-analysis; Vector Born diseases; Neglected tropical disease; Diagnosis

Online: 23 February 2020 (13:44:05 CET)

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Unicellular eukaryotes of the Trypanosomatidae family include human and animal pathogens that belong to the Trypanosoma and Leishmania genera. Diagnosis of the diseases they caused requires the sampling of body fluids (blood, lymph, peritoneal fluid, cerebrospinal fluid, etc.) or organ biopsies (bone marrow, spleen, etc.), which are mostly obtained through invasive methods. Body fluids or appendages can be alternatives to these invasive biopsies but appropriateness remains poorly studied. To further address this question, we perform a systematic review on clues evidencing the presence of parasites, genetic material, antibodies, and antigens in body secretions, appendages, or the organs or proximal tissues that produce these materials. Paper selection was based on searches in PubMed, Web of Science, WorldWideScience, SciELO, Embase, Google. The information of each selected article (n=333) was classified into different sections and data were extracted from 77 papers. The presence of Trypanosomatidae parasites has been tracked in most of organs or proximal tissues that produce body secretions or appendages, in naturally or experimentally infected hosts. The meta-analysis highlights the paucity of studies on Human African Trypanosomiasis and a the absence on animal Trypanosomiasis. Among the collected data high heterogeneity in terms of the I² statistic (100%) is recorded. A high positivity is recorded for antibody and genetic material detection in urine of patients and dogs suffering leishmaniasis, and of antigen for leishmaniasis and Chagas disease. Data on conjunctival swab can be analyzed with molecular methods solely for dogs suffering canine visceral leishmaniasis. Saliva and hair/bristle showed a pretty good positivity that support their potential to be used for leishmaniasis diagnosis. In conclusion, our study pinpoints significant gaps that need to be filled in order to properly address the interest of body secretion and hair or bristle for the diagnosis of infections caused by Leishmania and by other Trypanosomatidae parasites.

Preprint CASE REPORT | doi:10.20944/preprints201807.0358.v1

Energy Diagnosis of University Buildings: Renewable Energy Institute from UNAM

Oscar González, Miguel Morales, Carla Seefoó, David Morillón, Hugo Valdés

Subject: Engineering, Energy And Fuel Technology Keywords: energy diagnosis; energy efficiency; UNAM; IER; energy consumption and demand

Online: 19 July 2018 (11:36:57 CEST)

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Preprint BRIEF REPORT | doi:10.20944/preprints202104.0693.v1

COVID-19 Clinical Practice Guidelines Hadhramout Initiative Against Corona Group (HIAC Group)

Abdulla A. Baradwan, Khalid H. Ba-Msahell, Iman A. Ba-Saddik, Ibrahim Albakri, Hassan O. Batis, Ahmed Babiqai, Ahmed Al habshi, Shaker Bajaber, Ahmed M. Badheeb

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: COVID-19; SARS-CoV-2; HIAC Recommendation; Diagnosis; Treatment; Discharge Management

Online: 26 April 2021 (20:42:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0324.v1

Artificial Neural Network Analysis of Geo Database in Diagnosing Papillary Thyroid Carcinoma

zhoujing zhang, di xu, Ozioma Akakuru, wenjing xu, yewei zhang

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Papillary thyroid carcinoma; bioinformatics analysis; artificial neural network; diagnosis

Online: 11 March 2021 (16:08:01 CET)

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Preprint ARTICLE | doi:10.20944/preprints202004.0509.v1

GATA 3 Gene Overexpression Is A Biomarker of Adverse Prognosis for Peripheral T-Cell Lymphoma, Not Otherwise Specified and for ALK-Negative Anaplastic Large Cell Lymphoma: An Exploratory Analysis of 80 Latin American Cases of nodal PTCLs

Luís Alberto de Pádua Covas Lage, Cláudio Vinícius Brito, Débora Levy, Hebert Fabrício Culler, Samuel Campanelli Freitas Couto, Lucas Bassolli, Maria Claudia Nogueira Zerbini, Vanderson Rocha, Juliana Pereira

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: nodal peripheral T-cell lymphomas; peripheral T-cell lymphoma, not otherwise specified (PTCL/NOS); ALK-negative anaplastic large-cell lymphoma (ALCL/ALK-); Angioimmunoblastic T-cell lymphoma (AITL); diagnosis; prognosis; GATA3 gene expression

Online: 29 April 2020 (12:48:00 CEST)

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Background: Nodal peripheral T-cell lymphomas (nPTCLs) encompass a heterogeneous group of mature and aggressive lymphoid malignancies, including peripheral T-cell lymphoma, not otherwise specified (PTCL/NOS), angioimmunoblastic T-cell lymphoma (AITL) and anaplastic large cell lymphoma (ALCL) ALK-positive and ALK-negative. Their differential diagnosis and prognosis are an issue in the clinical practice. Accurate biomarkers to refine the different subtypes of nPTCLs and to stratify their prognosis are essential to improve their treatment approach. The aim of this study was to test the prognostic impact of GATA3 gene expression, and its capability to discriminate the different subtypes of nPTCLs. Patients and Methods: From 2000 to 2017, 80 patients with nPTCLs were eligible for GATA3 gene expression analysis that was assessed retrospectively by quantitative real time PCR (qRT-PCR) of neoplastic biopsies in Formalin-Fixed Paraffin-Embedded samples (FFPE). Results: Median age was 49 years old (IqR 34-59), 43/80 (53.7%) were male. Median follow-up was 1.72 years. Of them, 36.3% were classified as PTCL/NOS, 31.2% ALK-negative ALCL, 21.2% ALK-positive ALCL and 11.3% AITL. The majority of cases had advanced stage (III/IV). Two-year estimated overall survival (OS) and progression-free survival (PFS) were 52.2% and 39.5%, respectively. The median GATA3 gene expression level was 0.49% (range 0 – 7.07) in all cohort, it was 0.11% for ALK-positive ALCL, 0.46% for ALK-negative ALCL, 0.86% for PTCL/NOS and 0.67% for AITL. The difference of GATA3 gene expression among distinct variants of nPTCLs was statistically significant (p < 0.001). GATA3 gene expression levels ≥ 0.71% discriminate PTCL/NOS from ALK-negative ALCL and AITL with sensitivity of 62% and specificity of 80.3%. GATA3 gene expression levels ≥ median was associated with poor 2-year OS for PTCL/NOS (46.7% x 21.4%, p=0.04) and for ALK-negative ALCL (85.7% x 54.5%, p=0.04). Conclusion: Despite the relative small and heterogeneous group of patients with nPTCLs, GATA3 gene overexpression may be an important biomarker associated with poor prognosis in PTCL/NOS and ALK-negative ALCL. Moreover it may also discriminate different subtypes of nPTCLs. Further studies with larger series of patients should confirm our findings.

Preprint ARTICLE | doi:10.20944/preprints202104.0688.v1

Direct Quantitation of SARS-CoV-2 Using Droplet Digital PCR in Suspected Samples With Very Low Viral Load

Michela Deiana, Chiara Piubelli, Antonio Mori, Gian Paolo Chiecchi, Giulia La Marca, Martina Leonardi, Davide Treggiari, Anna Beltrame, Lucia Moro, Zeno Bisoffi, Elena Pomari

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: droplet digital PCR; real time RT-PCR; SARS-CoV-2; false negative; viral load; diagnosis

Online: 26 April 2021 (20:09:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0449.v1

Determination of Intestinal Mass by Region Growing Method

Ali Yasar, Ismail Saritas, Huseyin Korkmaz

Subject: Computer Science And Mathematics, Software Keywords: Computer Aided Diagnosis (CAD); image processing; region growing segmentation; intestinal mass

Online: 30 May 2018 (10:23:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202109.0390.v1

COVID-19 Diagnosis by 5-second Facial Video Processing Using Vibraimage and Artificial Intelligence

Viktor Minkin, Valery Akimov

Subject: Biology And Life Sciences, Biophysics Keywords: COVID-19; vibraimage; behavioral parameters; diagnosis accuracy; ANN; AI

Online: 22 September 2021 (16:28:12 CEST)

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The Covid-19 pandemic spreads in waves for a year and a half, despite significant worldwide efforts, the development of biochemical diagnostic methods and population vaccination. One of the reasons for the infection spread is the impossibility of early disease detection through biochemical diagnostics, since biochemical processes slowly develop in a body. At the same time, well known that behavioral characteristics of a person, measured based on reflex movements, are capable for inertialess assessment of psychophysiological parameters. Vibraimage technology is the method of head micromovements video processing by inter-frame difference accumulation and converting spatial and temporal characteristics of the inter-frame difference into behavioral and psychophysiological parameters. Here we shown that behavioral parameters measured by vibraimage changed during COVID-19 infection. The identification of changes signs in behavioral parameters detected by AI trained on patients and controls. The best diagnostic accuracy (higher 94%) obtained using instantaneous values of behavioral parameters measured with the following vibraimage settings: 10Hz frequency of basic measurements; 25 inter-frame difference accumulations and averaging the diagnostic results over period of at least 5 seconds. COVID-19 diagnoses by behavioral parameters showed earlier (5-7 days) detection of the disease compared to symptoms and positive results of biochemical RT-PCR testing. Proposed method for COVID-19 diagnosis indicates infected persons within 5 seconds video processing using standard television cameras (web, IP) and computers, allows mass testing/selftesting and will stop the pandemic spread. We assume that head micromovements analysis for diagnosis of various diseases is possible not only with the help of vibraimage technology. Further research of human head micromovement analysis will help stop the COVID-19 pandemic and will contribute to the development of new contactless and environmentally friendly methods for early diagnosis of diseases.

Preprint ARTICLE | doi:10.20944/preprints201804.0109.v2

Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey

Lefeng Cheng, Tao Yu

Subject: Engineering, Electrical And Electronic Engineering Keywords: power transformer; fault diagnosis and decision; dissolved gas analysis; intelligent algorithms; reliability assessment; hybrid network; preventive electrical tests

Online: 11 April 2018 (08:58:29 CEST)

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Compared with conventional methods of fault diagnosis for power transformers, which have defects such as imperfect encoding and too absolute encoding boundaries, this paper systematically discusses various intelligent approaches applied in fault diagnosis and decision making for large oil-immersed power transformers based on dissolved gas analysis (DGA), including expert system (EPS), artificial neural network (ANN), fuzzy theory, rough sets theory (RST), grey system theory (GST), swarm intelligence (SI) algorithms, data mining technology, machine learning (ML), and other intelligent diagnosis tools, and summarizes existing problems and solutions. From this survey, it is found that a single intelligent approach for fault diagnosis can only reflect operation status of the transformer in one particular aspect, causing various degrees of shortcomings that cannot be resolved effectively. Combined with the current research status in this field, the problems that must be addressed in DGA-based transformer fault diagnosis are identified, and the prospects for future development trends and research directions are outlined. This contribution presents a detailed and systematic survey on various intelligent approaches to faults diagnosing and decisions making of the power transformer, in which their merits and demerits are thoroughly investigated, as well as their improvement schemes and future development trends are proposed. Moreover, this paper concludes that a variety of intelligent algorithms should be combined for mutual complementation to form a hybrid fault diagnosis network, such that avoiding these algorithms falling into a local optimum. Moreover, it is necessary to improve the detection instruments so as to acquire reasonable characteristic gas data samples. The research summary, empirical generalization and analysis of predicament in this paper provide some thoughts and suggestions for the research of complex power grid in the new environment, as well as references and guidance for researchers to choose optimal approach to achieve DGA-based fault diagnosis and decision of the large oil-immersed power transformers in preventive electrical tests.

Preprint REVIEW | doi:10.20944/preprints202108.0513.v1

Liquid Biopsies in Epilepsy: Biomarkers for Etiology, Diagnosis, Prognosis, and Therapeutics

Jordan H. Whitlock, Tabea M. Soelter, Avery S. Williams, Andrew A. Hardigan, Brittany N. Lasseigne

Subject: Medicine And Pharmacology, Neuroscience And Neurology Keywords: liquid biopsy; epilepsy; circulating biomarkers; cfDNA; lncRNA; tRNA; miRNA; diagnosis; prognosis; therapeutics

Online: 26 August 2021 (16:40:54 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0576.v1

Intelligent Ball Bearing Fault Diagnosis by using Fractional Lorenz Chaos Extension Detection Method with Acceleration Sensor

An-Hong Tian, Cheng-Biao Fu, Yu-Chung Li, Her-Terng Yau

Subject: Engineering, Mechanical Engineering Keywords: Ball bearing; Fractional Lorenz chaos system; Extension theory; Chua’s Circuit Fault diagnosis

Online: 30 July 2018 (10:00:57 CEST)

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Preprint REVIEW | doi:10.20944/preprints202108.0048.v1

New Metabolic and Genetic Biomarkers for Diagnosis of Ulcerative Colitis

Elena Emilia Tudoroniu, Mihaela Andreea Costache, Maria-Andreea Stancu, Anca Lucia Pop

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: ulcerative colitis; biomarkers; diagnosis; inflammatory bowel disease; Crohn’s disease

Online: 2 August 2021 (14:39:13 CEST)

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Preprint REVIEW | doi:10.20944/preprints202011.0216.v1

Diagnosis of Composite Materials in Aircraft Applications–Brief Survey of Recent Literature

Muflih Alhammad, Luca Zanotti Fragonara, Nicolas P Avdelidis

Subject: Engineering, Automotive Engineering Keywords: Failure Diagnosis; Aircraft Applications; Composite Materials; Non-Destructive Testing (NDT) Techniques

Online: 5 November 2020 (14:53:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints201806.0216.v1

SpainUDP: The Spanish Undiagnosed Rare Diseases Program

Estrella López Martín, Beatriz Martínez-Delgado, Eva Bermejo-Sánchez, Alonso Javier, Manuel Posada

Subject: Medicine And Pharmacology, Clinical Medicine Keywords: Diagnosis delay; rare diseases; undiagnosed programs; standardized phenotype; phenotype ontologies; whole exome analysis; international data sharing

Online: 13 June 2018 (15:41:21 CEST)

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Preprint REVIEW | doi:10.20944/preprints202109.0149.v1

New Perspectives in Imaging of Uveal Melanoma

Malgorzata Solnik, Natalia Paduszynska, Anna M. Czarnecka, Kamil J. Synoradzki, Yacoub A. Yousef, Tomasz Choragiewicz, Robert Rejdak, Mario Damiano Toro, Katarzyna Dyndor, Michal Fiedorowicz

Subject: Medicine And Pharmacology, Ophthalmology Keywords: uveal melanoma; diagnosis; imaging; MRI; PET; CT; SPECT; OCT; ultrasonography

Online: 8 September 2021 (12:38:40 CEST)

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Preprint REVIEW | doi:10.20944/preprints202004.0139.v1

Potential Super Spreading’s of SARS-2 Pandemic. A Short Review

Anthony Kyriakopoulos

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: SARS epidemiology; super spread events; efficient diagnosis to contain magnitude of SARS-2 outbreaks

Online: 9 April 2020 (07:48:47 CEST)

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Preprint REVIEW | doi:10.20944/preprints202106.0285.v1

Quantitative Fluorescent Polymerase Chain Reaction for Prenatal Diagnosis and Its Application in Vietnam: A Literature Review

Thuan Phan

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: QF-PCR; cytogenetics; prenatal diagnosis; aneuploidy; chromosome abnormalities; screening test

Online: 10 June 2021 (09:17:57 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201903.0250.v1

A Periodic Potential Underdamped Stochastic Resonance Method and Its Application for Gear Fault Diagnosis

Zhixing Li, Xiandong Liu, Tian He, Yingchun Shan

Subject: Engineering, Mechanical Engineering Keywords: fault diagnosis, stochastic resonance, periodic potential, underdamped, weak signal

Online: 27 March 2019 (08:49:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0244.v1

A Multi-Level System of Performance Evaluation Using Diagnosis-Related Groups for Cost Containment

Shuguang Lin, Paul Rouse, Fan Zhang, Ying-Ming Wang

Subject: Business, Economics And Management, Accounting And Taxation Keywords: Cost containment; Performance Evaluation; Multi-level System; Diagnosis-related Group (DRG); Health system sustainability

Online: 11 May 2021 (11:29:16 CEST)

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Preprint REVIEW | doi:10.20944/preprints202110.0135.v1

Convolutional Neural Networks in Computer-Aided Diagnosis of Colorectal Polyps and Cancer: A Review

Kamyab Keshtkar

Subject: Computer Science And Mathematics, Artificial Intelligence And Machine Learning Keywords: convolutional neural networks (CNNs); deep learning; computer-aided diagnosis; colorectal polyps; colorectal cancer; colonoscopy

Online: 8 October 2021 (10:50:53 CEST)

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Preprint REVIEW | doi:10.20944/preprints201812.0066.v1

Emerging Molecular Technologies in Renal Cell Carcinoma: Liquid Biopsy

Alessia Cimadamore, Silvia Gasparrini, Francesco Massari, Matteo Santoni, Liang Cheng, Antonio Lopez-Beltran, Marina Scarpelli, Rodolfo Montironi

Subject: Medicine And Pharmacology, Pathology And Pathobiology Keywords: renal cell carcinoma; circulating DNA; CTC; diagnosis; follow-up; genetic alteration; target therapy

Online: 5 December 2018 (08:01:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202101.0315.v1

Establishing a Smartphone Ambulatory ECG Service for Patients Presenting to the Emergency Department with Pre-Syncope and Palpitations

Matthew J Reed, Alexandra Muir, Julia Cullen, Ross Murphy, Valery Pollard, Goran Zangana, Sean Krupej, Sylvia Askham, Patricia Holdsworth, Lauren Davies

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Emergency Department; Diagnosis; ECG monitoring; Cardiac dysrhythmias

Online: 18 January 2021 (10:37:33 CET)

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