Chandak, Payal

Scientific discovery in the age of artificial intelligence.

Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu, Z., Chandak, P., Liu, S., Van Katwyk, P., Deac, A., et al. (2023) · Nature

Artificial Intelligence ApplicationsMachine Learning in Materials Science

Cited by 1,823

Building a knowledge graph to enable precision medicine

Chandak, P., Huang, K., & Zitnik, M. (2023) · Scientific Data

Biomedical Text Mining and OntologiesBioinformatics and Genomic Networks

Cited by 522

A foundation model for clinician-centered drug repurposing

Huang, K., Chandak, P., Wang, Q., Havaldar, S., Vaid, A., Leskovec, J., Nadkarni, G. N., Glicksberg, B. S., Gehlenborg, N., & Zitnik, M. (2024) · Nature Medicine

Computational Drug Discovery MethodsMachine Learning in Healthcare

Cited by 249

Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing

Wang, Q., Huang, K., Chandak, P., Zitnik, M., & Gehlenborg, N. (2023) · IEEE Transactions on Visualization and Computer Graphics

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 82

Using machine learning to identify adverse drug effects posing increased risk to women

Chandak, P., & Tatonetti, N. P. (2020) · Patterns

Pharmacovigilance and Adverse Drug ReactionsSex and Gender in Healthcare

Cited by 51