Ayush Noori

According to our database, Ayush Noori authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

What Does the AI Doctor Value? Auditing Pluralism in the Clinical Ethics of Language Models.

Payal Chandak, Victoria Alkin, David Wu, Maya Dagan, Taposh Dutta Roy, Maria Clara Saad Menezes, Ayush Noori, Nirali Somia, John S. Brownstein, Ran D. Balicer, Rebecca W. Brendel, Noa Dagan, Isaac S. Kohane, Gabriel A. Brat

CoRR, May, 2026

OptimusKG: Unifying biomedical knowledge in a modern multimodal graph.

Lucas Vittor, Ayush Noori, Iñaki Arango, Joaquín Polonuer, Samuel G. Rodriques, Andrew White, David A. Clifton, Marinka Zitnik

CoRR, April, 2026

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval.

Joaquín Polonuer, Lucas Vittor, Iñaki Arango, Ayush Noori, David A. Clifton, Luciano Del Corro, Marinka Zitnik

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems.

Ayush Noori, Joaquín Polonuer, Katharina Meyer, Bogdan Budnik, Shad Morton, Xinyuan Wang, Sumaiya Nazeen, Yingnan He, Iñaki Arango, Lucas Vittor, Matthew Woodworth, Richard C. Krolewski, Michelle M. Li, Ninning Liu, Tushar Kamath, Evan Macosko, Dylan Ritter, Jalwa Afroz, Alexander B. H. Henderson, Lorenz Studer, Samuel G. Rodriques, Andrew White, Noa Dagan, David A. Clifton, George M. Church, Sudeshna Das, Jenny M. Tam, Vikram Khurana, Marinka Zitnik

CoRR, December, 2025

A global log for medical AI.

Ayush Noori, Adam Rodman, Alan Karthikesalingam, Bilal A. Mateen, Christopher A. Longhurst, Daniel Yang, Dave deBronkart, Gauden Galea, Harold F. Wolf III, Jacob Waxman, Joshua C. Mandel, Juliana Rotich, Kenneth D. Mandl, Maryam Mustafa, Melissa Miles, Nigam H. Shah, Peter Lee, Robert Korom, Scott Mahoney, Seth Hain, Tien Yin Wong, Trevor Mundel, Vivek Natarajan, Noa Dagan, David A. Clifton, Ran D. Balicer, Isaac S. Kohane, Marinka Zitnik

CoRR, October, 2025

KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning.

Xilin Dang, Kexin Chen, Xiao-Rui Su, Ayush Noori, Iñaki Arango, Lucas Vittor, Xinyi Long, Yuyang Du, Marinka Zitnik, Pheng-Ann Heng

CoRR, September, 2025

Democratizing AI scientists using ToolUniverse.

Shanghua Gao, Richard Zhu, Pengwei Sui, Zhenglun Kong, Sufian Aldogom, Yepeng Huang, Ayush Noori, Reza Shamji, Krishna Parvataneni, Theodoros Tsiligkaridis, Marinka Zitnik

CoRR, September, 2025

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools.

Shanghua Gao, Richard Zhu, Zhenglun Kong, Ayush Noori, Xiao-Rui Su, Curtis Ginder, Theodoros Tsiligkaridis, Marinka Zitnik

CoRR, March, 2025

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium.

Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour

CoRR, February, 2025

Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases.

Emily Alsentzer, Michelle M. Li, Shilpa N. Kobren, Ayush Noori, Isaac S. Kohane, Marinka Zitnik

npj Digit. Medicine, 2025

2024

Multi Scale Graph Neural Network for Alzheimer's Disease.

Anya Chauhan, Ayush Noori, Zhaozhi Li, Yingnan He, Michelle M. Li, Marinka Zitnik, Sudeshna Das

CoRR, 2024

Multi-objective generative AI for designing novel brain-targeting small molecules.

Ayush Noori, Iñaki Arango, William E. Byrd, Nada Amin

CoRR, 2024

Empowering Biomedical Discovery with AI Agents.

Shanghua Gao, Ada Fang, Yepeng Huang, Valentina Giunchiglia, Ayush Noori, Jonathan Richard Schwarz, Yasha Ektefaie, Jovana Kondic, Marinka Zitnik

CoRR, 2024

Machine Learning for Health (ML4H) 2024.

Helen Zhou, Stefan Hegselmann, Elizabeth Healey, Trenton Chang, Caleb Ellington, Michael Leone, Vishwali Mhasawade, Sana Tonekaboni, Winston Chen, Hyewon Jeong, Xiaoxiao Li, Juyeon Heo, Payal Chandak, Ayush Noori, Sarah Jabbour, Jessica Dafflon, Jerry Ji, Jivat Neet Kaur, Amin Adibi, Xu Cao, Meera Krishnamoorthy, Yidi Huang, Fabian Gröger, Aishwarya Mandyam, Niloufar Saharhkhiz, Teya S. Bergamaschi, William Boag, Jeroen Berrevoets, Matthew Lee, Kyle Heuton, Peniel N. Argaw, Haoran Zhang

Proceedings of the Machine Learning for Health, 2024

2023

<tt>Metapaths</tt>: similarity search in heterogeneous knowledge graphs via meta-paths.

Ayush Noori, Michelle M. Li, Amelia L. M. Tan, Marinka Zitnik

Bioinform., May, 2023

Multimodal learning with graphs.

Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha R. Farhat, Marinka Zitnik

Nat. Mac. Intell., April, 2023

Graph AI in Medicine.

Ruth Johnson, Michelle M. Li, Ayush Noori, Owen Queen, Marinka Zitnik

CoRR, 2023

2022

Geometric multimodal representation learning.

Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha R. Farhat, Marinka Zitnik

CoRR, 2022

2021

Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records.

Tanish Tyagi, Colin G. Magdamo, Ayush Noori, Zhaozhi Li, Xiao Liu, Mayuresh Deodhar, Zhuoqiao Hong, Wendong Ge, Elissa M. Ye, Yi-han Sheu, Haitham Alabsi, Laura Brenner, Gregory K. Robbins, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Alberto Serrano-Pozo, Dimitry Prokopenko, Rudolph E. Tanzi, Bradley T. Hyman, Deborah Blacker, Shibani S. Mukerji, M. Brandon Westover, Sudeshna Das

CoRR, 2021

2020

Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning.

Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu, Prathamesh Mohite, Ayush Noori, Elissa M. Ye, Wendong Ge, Haoqi Sun, Laura Brenner, Gregory K. Robbins, Shibani Mukerji, Sahar F. Zafar, Nicole Benson, Lidia M. V. R. Moura, John Hsu, Bradley T. Hyman, M. Brandon Westover, Deborah Blacker, Sudeshna Das

CoRR, 2020