Machine Learning Algorithm for Nanomedicine: AI Curated Nanocarriers for Cancer Treatment - PubMed
4 hours ago
- #Cancer treatment
- #AI in medicine
- #Nanotechnology
- Cancer remains a major global health challenge due to genetic variability and complex molecular mechanisms.
- AI-driven methodologies optimize nanoparticle (NP) design for targeted cancer therapy.
- Machine learning (ML) models accelerate NP fabrication and simulate tumor dynamics and drug release kinetics.
- AI-powered platforms like EVOnano refine nanocarrier functionalities through in silico tumor microenvironment simulations.
- AI-assisted nanomedicine enhances drug bioavailability, tumor specificity, and reduces systemic toxicity.
- Challenges include nanoparticle scalability, AI interpretability, and biological heterogeneity.
- AI in nanomedicine represents a shift towards patient-tailored, precision-based cancer interventions.