Machine Learning and Artificial Intelligence in Nanomedicine

Nanomedicine harnesses nanoscale materials, such as lipid, polymeric, and inorganic nanoparticles, to deliver diagnostic or therapeutic agents for cancer, infectious disease, and neurological disorders, among others. However, translating promising nanoparticle designs into clinically approved products remains a challenge. Factors such as particle size, surface chemistry, and payload interactions must be optimized, and preclinical results often fail to predict human efficacy. In recent years, artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools to address these hurdles at every stage of nanomedicine development. By rapidly screening extensive libraries and extracting…

• NI
  National Institutes of Health

  Award: R01EB031022
• NI
  National Institute of Biomedical Imaging and Bioengineering

  Awards: R01EB031022, R03EB035643