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Payal Chandak

Showing results (1-10 of 10) with videos related to

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Patterns (New York, N.Y.)|November 12, 2020
Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to WomenPayal Chandak, Nicholas P Tatonetti
Scientific Data|February 2, 2023
Building a knowledge graph to enable precision medicinePayal Chandak, Kexin Huang, Marinka Zitnik
IEEE Transactions on Visualization and Computer Graphics|October 12, 2022
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug RepurposingQianwen Wang, Kexin Huang, Payal Chandak, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|December 4, 2024
Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural NetworkYang Gao, Xiang Zhang, Zhongquan Sun, et al.
Eclinicalmedicine|February 20, 2026
Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligenceTeya Bergamaschi, Tiffany Yau, Payal Chandak, et al.
Medrxiv : the Preprint Server for Health Sciences|August 16, 2024
A foundation model for clinician-centered drug repurposingKexin Huang, Payal Chandak, Qianwen Wang, et al.
Nature Medicine|September 25, 2024
A foundation model for clinician-centered drug repurposingKexin Huang, Payal Chandak, Qianwen Wang, et al.
Proceedings of Machine Learning Research|July 2, 2026
What do LLMs value? An evaluation framework for revealing subjective trade-offs in assessment of glycemic controlPayal Chandak, Elizabeth Healey, Maria F Villa-Tamayo, et al.
Nature|August 30, 2023
Publisher Correction: Scientific discovery in the age of artificial intelligenceHanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature|August 2, 2023
Scientific discovery in the age of artificial intelligenceHanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Patterns (New York, N.Y.)|November 12, 2020
Using Machine Learning to Identify Adverse Drug Effects Posing Increased Risk to WomenPayal Chandak, Nicholas P Tatonetti
Scientific Data|February 2, 2023
Building a knowledge graph to enable precision medicinePayal Chandak, Kexin Huang, Marinka Zitnik
IEEE Transactions on Visualization and Computer Graphics|October 12, 2022
Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug RepurposingQianwen Wang, Kexin Huang, Payal Chandak, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|December 4, 2024
Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural NetworkYang Gao, Xiang Zhang, Zhongquan Sun, et al.
Eclinicalmedicine|February 20, 2026
Forecasting left ventricular systolic dysfunction in heart failure with artificial intelligenceTeya Bergamaschi, Tiffany Yau, Payal Chandak, et al.
Medrxiv : the Preprint Server for Health Sciences|August 16, 2024
A foundation model for clinician-centered drug repurposingKexin Huang, Payal Chandak, Qianwen Wang, et al.
Nature Medicine|September 25, 2024
A foundation model for clinician-centered drug repurposingKexin Huang, Payal Chandak, Qianwen Wang, et al.
Proceedings of Machine Learning Research|July 2, 2026
What do LLMs value? An evaluation framework for revealing subjective trade-offs in assessment of glycemic controlPayal Chandak, Elizabeth Healey, Maria F Villa-Tamayo, et al.
Nature|August 30, 2023
Publisher Correction: Scientific discovery in the age of artificial intelligenceHanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature|August 2, 2023
Scientific discovery in the age of artificial intelligenceHanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Pageof 1