Research
Partners
NanoToxi AI was built on a foundation of curated scientific knowledge. These researchers contributed directly to the literature review and dataset that powers our RF v16 model.
Dr. Pravin WalkeFMASC
Research Collaborator
Contributed domain expertise in nanoparticle physicochemistry and toxicological profiling, supporting literature curation and dataset quality validation.
Himadri MedhiPh.D
Research Collaborator
Provided expertise in nanotoxicology research, contributing to the curation and validation of biological endpoints and cell-line exposure data across the training corpus.
Rutuja Gumathannavar
Research Collaborator
Assisted in the systematic extraction and annotation of nanoparticle toxicity records from peer-reviewed literature, directly contributing to the 17,000+ record training dataset.
Acknowledgement
The RF v16 model owes its performance to the quality of the underlying dataset. The rigorous literature curation carried out by our research collaborators — spanning hundreds of peer-reviewed publications — is what makes NanoToxi AI's predictions reliable. We are grateful for their scientific expertise and commitment to advancing safer nanoparticle research.