1. Introduction to Personalized Drug Delivery
Role of Nanotechnology and AI in Precision Medicine
Artificial intelligence and nanotechnology are transforming patient-specific drug delivery with therapeutic importance and targeted effectiveness. Nanoparticles, whose size, surface character, and bioavailability are tailorable, offer controlled release of the drug and increased bioavailability and hence less systemically related side effects [
1].
AI makes this approach possible by using massive datasets to develop patient-specific predictions, drug formulation optimization, and delivery strategy adjustment. Machine learning algorithms determine the most suitable nanoparticle design to enable efficient drug delivery and treat patients with customized therapy based on tailor-made genetic and physiological profiles [
2].
2. Advancements in Nanotechnology for Drug Delivery
2.1. Lipid Nanoparticles and Vesicular Drug Delivery Systems
Lipid nanoparticles (LNPs) have been found to be an effective drug delivery system due to their hydrophobic and hydrophilic drug-loading abilities, biocompatibility, and stability. The drug can deliver and absorb in a targeted manner, thus increasing the therapeutic effect with less toxicity [
3].
However, issues such as mass production and formulation stability remain. The past few years have focused on scalability and physicochemical properties of the carriers to render them potentially useful for drug and gene delivery in the clinic [
4]. Vesicular drug delivery systems such as liposomes and exosomes are also explored to improve solubility of drugs, prolong circulation, and offer maximum therapeutic effect targeting [
5].
2.2. Smart Drug Carriers and Bioavailability Improvements
Intelligent drug carriers have been used to the maximum extent in nanomedicine for maximizing drug bioavailability and targeted drug delivery to a large extent. Engineered nanoparticles may also be programmed to sense physiological stimuli such as pH, temperature, or enzyme activity and deliver the drug in a sustained manner at the site of target [
6].
Besides, new developments in polymeric and inorganic nanoparticles have created multi-functional drug carriers with increased solubility and half-life of circulation and avoidance of off-target effects. This is one of the second-generation drug delivery systems with increased therapeutic effectiveness and patient advantage [
7].
3. Artificial Intelligence in Drug Development and Targeting
3.1. AI-Driven Drug Discovery and Optimization
Artificial intelligence is transforming drug discovery by speeding up the identification of new drug leads and formulation optimization. AI algorithms scan large data sets in the hope of being able to predict molecular interactions and thus improve drug screening and reduce development time [
8].
Pharma-AI collaboration is also accelerating the drug discovery process. For instance, in recent studies, AI has optimally accelerated drug development by successfully optimizing dosing, side effect prediction, and compound selection [
9].
3.2. AI in Personalized Nanomedicine and Patient-Specific Treatments
AI is revolutionizing individualized nanomedicine by constructing drugs into patient-specific profiles. Scientists can design nanocarriers with optimal characteristics for target release and highest therapeutic effect according to AI predictive models [
10].
Along with this, AI provides real-time monitoring of the patient and real-time adaptive change of the treatment schedule. Artificial intelligence-supported smart drug delivery systems provide real-time dose adjustment and individualized treatment in a manner to ensure optimum efficacy with minimal toxicity [
11].
4. Nanorobotics and Magnetic Targeting for Precision Therapy
4.1. Blood-Cell-Sized Nanorobots for Targeted Drug Delivery
Nanorobotics is turning out to be an ageing-busting technology for ageing-related precision therapy. Nanometer scale robots whose dimensions are lesser than human-red blood cell sizes are being engineered to move singly through the vasculature and transport drugs in precise fashion to diseased locales with unprevisioned triumph [
12].
These nanobots are able to detect diseased tissues automatically, be triggered by biochemical signals, and deliver therapeutic particles at the optimal concentration, greatly enhancing therapy specificity and preventing systemic toxicity [
13].
Table 1.
Advances in Nanorobotics and Magnetic Targeting for Drug Delivery.
Table 1.
Advances in Nanorobotics and Magnetic Targeting for Drug Delivery.
| Category |
Description |
Key Benefits/Challenges |
Reference |
| Blood-Cell-Sized Nanorobots |
Nanorobots designed for ultra-precise drug delivery |
Enhanced targeting, minimal systemic toxicity |
[12] |
| Biochemical Signal-Responsive Nanobots |
Nanobots activated by biochemical cues for controlled drug release |
Improved specificity, real-time therapeutic response |
[13] |
| Magnetic Nanoparticles for Brain Therapy |
Magnetic-guided nanoparticles for crossing the blood-brain barrier |
Effective brain targeting, non-invasive therapy |
[14] |
| Magnetic Targeting in Cancer Treatment |
External magnetic fields guide nanoparticles to tumor sites |
Higher drug retention, reduced off-target toxicity |
[14] |
4.2. Magnetic Guidance of Nano-Systems in Brain and Cancer Treatment
These magnetic nanoparticles are also seen to be capable in drug targeted delivery studies for brain disorders and cancers. Under external magnetic fields, nanoparticles of such type can be guided to penetrate areas with higher drug content and therapeutic action [
14].
The approach has been shown to penetrate the blood-brain barrier efficiently and access deeply seated malignancies, achieving optimal retention of drugs in the disease area with little off-target activity [
14].
5. CRISPR and AI in Next-Generation Nanomedicine
5.1. Gene-Editing Technologies in Drug Delivery
CRISPR gene editing is revolutionizing drug delivery with the potential to make precise genetic alterations. CRISPR can remove disease-causing genetic mutations, switch genes on or off, and construct cell-based treatments for a patient [
15].
One of the initial applications of CRISPR in nanomedicine is being used along with lipid nanoparticles in gene therapy that is targeted. The nanoparticles are ideal carriers that help deliver CRISPR-Cas9 to be both effective and safe and also to evade the detection and off-targeting by the immune system [
15].
Table 2.
Innovations in Gene-Editing and AI-Driven Drug Delivery.
Table 2.
Innovations in Gene-Editing and AI-Driven Drug Delivery.
| Category |
Description |
Key Benefits/Challenges |
Reference |
| CRISPR Gene Editing |
Precise genetic modifications for disease treatment |
Targeted therapy, potential for curing genetic disorders |
[15] |
| Lipid Nanoparticles for CRISPR |
Nanocarriers delivering CRISPR-Cas9 safely to target cells |
Reduces immune detection, enhances delivery efficiency |
[15] |
| AI-Guided CRISPR Targeting |
AI optimizes gene-editing precision and minimizes off-target effects |
Improves specificity, accelerates drug development |
[16] |
| CRISPR in Regenerative Medicine |
Gene-editing applications for tissue regeneration and repair |
Potential breakthroughs in personalized treatments |
[16] |
5.2. AI-CRISPR Fusion for Highly Targeted Therapeutics
The intersection of ICPR and AI is uncovering new frontiers in precision medicine. AI-powered models screen massive genomic databases, charting the optimal gene-editing targets, pushing CRISPR-based medicines' specificity and efficacy to the limit [
16].
Besides, AI systems forecast potential off-targeting impacts and optimize CRISPR constructs to reduce unsolicited mutations. This harmony of AI and CRISPR is attempted through the therapy of cancer, inherited disorders, and regenerative medicine, a progress in personalized therapy [
16].
6. Recent Innovations and Future Prospects
Emerging Breakthroughs from Research and Industry Applications
Partnering between frontier science and industry is driving benchmark advances. Therapies customized [
17] is being overhauled by innovation in the shape of self-folding nanocarriers, artificial intelligence-guided nanoparticle design, and biomimetic drug delivery.
Table 3.
Recent Innovations and Future Prospects in Drug Delivery.
Table 3.
Recent Innovations and Future Prospects in Drug Delivery.
| Category |
Description |
Key Benefits/Challenges |
Reference |
| Self-Folding Nanocarriers |
Smart carriers that change shape to enhance drug delivery |
Improved targeting, controlled release |
[17] |
| AI-Guided Nanoparticle Design |
AI algorithms optimize nanoparticle properties for efficiency |
Enhances precision, reduces trial-and-error in development |
[17] |
| Biomimetic Drug Delivery |
Uses natural biological structures for improved drug compatibility |
Reduces immune rejection, improves bioavailability |
[17] |
| AI-Based Drug Delivery Systems |
AI-driven models for formulation and real-time therapy monitoring |
Personalized treatments, faster response times |
[18] |
| Nanorobotic Interventions |
Micro-scale robots for targeted therapy and in vivo diagnostics |
Potential for autonomous, highly specific treatments |
[18] |
Nanotechnology has also seen real-world applications become a reality, with cluster hotspots of researchers from all over the globe leading to paradigm-shifting technologies. Advances in medicine brought about by war, for instance, have triggered accelerated development in AI-based drug delivery formulations, in vivo diagnostic platforms, and second-generation nanocarriers [
17].
In the near future, the integration of AI, nanotechnology, and gene editing will propel medicine into the future. Future is moving towards a path of a self-sustaining drug delivery system pathway, real-time monitoring of the therapy impact, and nanorobotic interventions with the potential to transform healthcare paradigms [
18].
7. Conclusions
The convergence of nanotechnology, gene editing sciences, and artificial intelligence is revolutionizing the field of personalized drug delivery. Nanotechnology drug vehicles like lipid nanoparticles and vesicular systems have reached the maximal bioavailability and drug targeting with minimum side effects and maximal therapeutic return. AI-powered sciences are revolutionizing the drug discovery and patient profile-based personalization of treatment by real-time adaptation.
Nanorobotics and magnetically activated nanosystems are transforming precision therapy through the capability of drug targeting with specificity, particularly in brain disease and cancer. Additionally, the synergistic integration of CRISPR-mediated gene editing and artificial intelligence is making treatment extremely specific, patient-specific, and curing genetic diseases with unmatched specificity.
Emerging technologies and industrial sciences are molding nanomedicine to take us to a new generation of autonomous drug delivery systems and surveillance with AI. As technology continues to accelerate, interdisciplinarity research and regulatory ingenuity will be needed in order to close these technologies to utility application into day-to-day clinical practice. The future of modern therapeutics is the complementary union of these nascent technologies to more secure, better, and importantly personalized therapy.
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