Microsoft at MLH4
Microsoft is a proud sponsor of the AHLI Machine Learning for Health (ML4H) Symposium (opens in new tab) which aims to bring together a vibrant community of machine learning researchers, clinicians, and healthcare data experts. ML4H is a separate symposium co-located with NeurIPS that takes place on Monday, December 1 – Tuesday, December 2, 2025, at The Westin San Diego Gaslamp Quarter in San Diego, California. Stop by our table to meet our researchers and learn more about accepted papers and research at Microsoft.
Microsoft accepted publications:
CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
Alyssa Unell; Noel C Codella; J. Samuel Preston; Peniel Argaw; Wen-wai Yim; Zelalem Gero; Cliff Wong; Rajesh Jena; Eric Horvitz; Amanda K. Hall, Rachel Ruican Zhong; Jiachen Li; Shrey Jain; Mu Wei; Matthew P. Lungren; Hoifung Poon
Identifying treatment response subgroups in observational time-to-event data
Vincent Jeanselme; Chang Ho Yoon; Fabian Falck; Brian Tom; Jessica Barrett
Rad-Phi4-Vision-CXR: A Compact Multimodal Assistant for Versatile Radiology Workflows
Mercy Prasanna Ranjit; Anirban Porya; Shaury srivastav; Niharika Vadlamudi; Nikhilesh Chowdary Eathamukkala; Shashank Udyavar; Rahul Kumar; Tanuja Ganu
NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery
Anurag Jayant Vaidya; Felix Meissen; Daniel Coelho de Castro; Shruthi Bannur; Tristan Lazard; Drew FK Williamson; Faisal Mahmood; Javier Alvarez-Valle; Stephanie Hyland; Kenza Bouzid
CLIN-SUMM: Temporal Summarization of Longitudinal Clinical Notes
Valentina D’souza; Alaleh Azhir; Sam Freesun Friedman; Danielle F Pace; Arash A. Nargesi; Tristan Naumann; Christopher D. Anderson; Steven J. Atlas; Judy Hung; Mahnaz Maddah