Integrating AI, Photonics, and Molecular Modeling: The Future of Precision Medicine
This study presents a novel computational framework combining Artificial Intelligence (AI), photonics, and molecular modeling to accelerate precision drug discovery. Light-driven photonic simulations enable ultrafast modeling of molecular energy landscapes and conformational dynamics, while AI algorithms optimize molecular interactions, binding affinities, and therapeutic specificity. The integration forms the Photonically-Assisted AI Molecular Modeling System (PAIMMS), establishing a paradigm for real-time, adaptive, and personalized medicine. Applications span oncology, neurodegenerative disorders, and virology, highlighting the potential for fully autonomous, light-powered therapeutic design. This work lays the foundation for a new discipline: Computational Photonic Biomedicine, where photons compute therapeutic futures.
Institutions
- IndependenceFirst (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-10-08
- DOI
- https://doi.org/10.5281/zenodo.17295048
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00