illustration of DNA strand and abstract shapes on a computer screen on a green gradient background

Medical, health, and genomics

Digital pathology helps decode tumor microenvironments for precision immunotherapy. GigaPath is a novel vision transformer that can scale to gigapixel whole-slide images by adapting dilated attention for digital pathology. In joint work with Providence and UW, we’re sharing Prov-GigaPath, the first whole-slide pathology foundation model pretrained on large-scale real-world data, for advancing clinical research and discovery.

GigaPath: Whole-Slide Foundation Model for Digital Pathology

Research Forum Ep2 | Panel | Transforming the Natural Sciences with AI

Research Forum 2 | Panel Discussion: Transforming the Natural Sciences with AI

white icons of first aid kit, DNA strand, laptop monitor with overlapping eye, and microscope on a blue and green gradient background

Scaling early detection of esophageal cancer with AI

female doctor / nurse reviewing a tablet

Microsoft Health Futures

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MedPMC: A Systematic Framework for Scaling High-Fidelity Medical Multimodal Data for Foundation Models

Hyunjae Kim, Dain Kim, Pan Xiao, Serina S. Applebaum, Younjoon Chung, Xuguang Ai, Yu Yin, Roy Jiang, Yuexi Du, Yawen Wei, Yiming Kong, Tuo Guo, Zhiyuan Cao, Mengmeng Du, Yuelei Fu, Yan Hu, Ruihe Shi, Guimiao Yang, Kevin W. Jin, Yuntian Liu, Yu Tian, Jonathan Marquez, Zhen Chen, Sheng Zhang, Hoifung Poon, Hua Xu, Jaewoo Kang, Qingyu Chen

July 2026

arXiv | July 2026

论文与出版物

Hidden Causality Inclusion in Radiology Reports with Multimodal Small Language Models

Mercy Ranjit, Tanuja Ganu

NTCIR-18 HIDDEN-RAD: Hidden Causality Inclusion in Radiology Reports with Multimodal Small Language Models

项目

CARE

CARE is a research program at Microsoft Research India focused on building foundation and multimodal models for healthcare, with an emphasis on radiology. The program develops vision-language and representation-learning systems that prioritize clinical fidelity, interpretability,…

论文与出版物

Healthcare Beyond Reaction: Harnessing AI and Sensing for Proactive Care

Shyama Sastha Krishnamoorthy Srinivasan, A. O'Kane, Ana Tajadura-Jiménez, Anja Thieme, Farah Magrabi, F. Nunes, Gautami Tripathi, Kirti Lakra, Manshul Belani, Mohan Kumar, Pragya Singh, Pushpendra Singh, Sara Moin, Vedant Das Swain

2026 ACM Interactive Health Conference | July 2026

论文与出版物

Multiscale Neural Network Potential with Anisotropic Message Passing for the Fast and Accurate Simulation of Protein Dynamics and Enzymatic Reactions.

Moritz Thürlemann, Felix Pultar, Igor Gordiy, Enrico Ruijsenaars, Sereina Riniker

Journal of the American Chemical Society | July 2026

论文与出版物

HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents

Qianchu Liu, Sheng Zhang, Guanghui Qin, Jeya Maria Jose Valanarasu, Maximilian Rokuss, Ming Lu, Timothy Ossowski, Juan Manuel Zambrano Chaves, Cliff Wong, Peniel Argaw, Yashna Hasija, Mu Wei, Wen-wai Yim, Qin Liu, Zilin Jing, Jason Entenmann, Naoto Usuyama, Tristan Naumann, Hoifung Poon

June 2026

arXiv | June 2026

论文与出版物

Deep learning of pretreatment ascites cytopathology for platinum-resistance risk stratification in advanced epithelial ovarian cancer

Yangyang Zhang, Xiaochun Wan, Yongqi Chen, Jianbo Xu, Weijie Wang, Haiming Li, Zhihao Zhang, Yi Luo, Liujia Wang, X. Ju, Xiaohua Wu, Zilong Wang, Bo Ping, Qinhao Guo

Neoplasia (New York, N.Y.) | June 2026, 第 79 卷

视频

Welcome Session – Microsoft Research India Academic Summit 2026

2026年6月26日 | Venkat Padmanabhan, Srinivasan Iyengar

Microsoft Research India Academic Summit 2026Speakers: Venkat Padmanabhan, Srinivasan Iyengar#MSRI #ARS2026

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11:31

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Human-Centered AI: Design, Deployment & Healthcare

2026年6月26日 | Manik Gupta, Anirudha Joshi, Aaditeshwar Seth, Ashish Makhani, Mohit Jain, Tavpritesh Sethi

Speakers: Manik Gupta, BITS Hyderabad; Anirudha Joshi, IIT Bombay; Aaditeshwar Seth, IIT Delhi; Ashish Makhani, Ashoka University; Mohit Jain, Microsoft; Tavpritesh Sethi, IIIT Delhi #MSRI #ARS2026

01:49:29

视频

Multimodal & Embodied Intelligence (S1), Panel on Multimodal AI: Progress, Pitfalls, Possibilities

2026年6月26日 | Madhava Krishna, Sriram Ganapathy, Somak Aditya, Makarand Tapaswi, Vineeth N Balasubramanian, Tanuja Ganu

Microsoft Research India Academic Research Summit 2026 Multimodal & Embodied Intelligence (Session 1) and Panel discussion on Multimodal AI: Progress, Pitfalls, and Possibilities Session: Multimodal & Embodied Intelligence and Panel discussionSpeakers: Madhava Krishna (IIIT Hyderabad),…

01:37:29

Medical, health, and genomics

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