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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Publication

Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images

Xinyu Zhao, Xingwang Gu, Lihui Meng, Yongwei Chen, Qing Zhao, Shiyu Cheng, Wenfei Zhang, Tiantian Cheng, Chuting Wang, Zhengming Shi, Shengyin Jiao, Chang Jiang, Guofang Jiao, Da Teng, Xiaolei Sun, Bi-lei Zhang, Yakun Li, Huiqin Lu, Changzheng Chen, Hao Zhang, Ling Yuan, Chang Su, Han Zhang, Song Xia, A. Liang, Mengda Li, Dan Zhu, Mei Xue, D. Sun, Qiuming Li, Ziwu Zhang, Donglei Zhang, Hongbin Lv, Rishet Ahmat, Zilong Wang, C. Sabanayagam, Xiaowei Ding, T. Y. Wong, Youxin Chen

NPJ Digital Medicine | October 2024, Vol 7

Publication

Scalable, compressed phenotypic screening using pooled perturbations.

Nuo Liu, Walaa E. Kattan, Benjamin E. Mead, Conner Kummerlowe, Thomas Cheng, Sarah Ingabire, Jaime H Cheah, Christian K Soule, Anita Vrcic, Jane K. McIninch, Sergio Triana, Manuel Guzman, Tyler T. Dao, Joshua M. Peters, Kristen E. Lowder, Lorin Crawford, Ava P. Amini, Paul C. Blainey, William C. Hahn, Brian Cleary, Bryan D. Bryson, Peter S. Winter, Srivatsan Raghavan, Alex K. Shalek

Nature biotechnology | October 2024

Project

Tool

ProtNote: a multimodal method for protein-function annotation

ProtNote is a multimodal deep learning model that leverages free-form text to enable both supervised and zero-shot protein function prediction.

GitHub

Publication

DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology

Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Asma Ben Abacha, Meliha Yetisgen, Fei Xia

Medical Image Computing and Computer Assisted Intervention — MICCAI 2024 | October 2024

Publication

MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging

Noel Codella, Yu Gu, Shrey Jain, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaria-Pang, Will Guyman, Natieek Sangani, Sheng Zhang, Hoifung Poon, Stephanie Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John Garett, Alan McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Reehan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P Lungren, Mu Wei

October 2024

Microsoft Research Blog

Stress-testing biomedical vision models with RadEdit: A synthetic data approach for robust model deployment

September 30, 2024 | Max Ilse, Daniel Coelho de Castro, Javier Alvarez-Valle

RadEdit stress-tests biomedical vision models by simulating dataset shifts through precise image editing. It uses diffusion models to create realistic, synthetic datasets, helping to identify model weaknesses and evaluate robustness.

On the left is a simple drawing of the lungs. The drawing shows the borders of the left and right lung as well as the trachea and the left and right main stem bronchi. The text under the drawing reads: Original image. To the right of the drawing are the 3 additional inputs of RadEdit. They are arranged vertically. On top there is an example editing prompt. It reads

Publication

Machine learning to evaluate the relationship between social determinants and diabetes prevalence in New York City

Darren Tanner, Yongkang Zhang, Ji Eun Chang, Peter Speyer, Elizabeth Adamson, Ann Aerts, Juan M. Lavista Ferres, Bill Weeks

BMJ Public Health | September 2024

Project

Video

AI for Business Transformation: Multimodal Models

September 18, 2024 | Gretchen Huizinga, Peter Lee, Vijay Mital

Multimodal models hold the key to unprecedented advances in AI, moving beyond text and numbers to incorporate a much wider spectrum of inputs. AI research leaders Peter Lee and Vijay Mital discuss how researchers are…

Peter Lee and Gretchen Huizinga sitting at a table having a discussion with Vijay Mital

31:13

Video

AI for Business Transformation: Lessons from Healthcare

September 18, 2024 | Gretchen Huizinga, Peter Lee, Vijay Mital

AI is already helping healthcare organizations drive innovation and efficiency gains. Peter Lee and Vijay Mital explore how Microsoft is helping, and how the lessons from healthcare could apply across many other industries. Related: Azure…

Peter Lee sitting at a table having a discussion with Vijay Mital and Gretchen Huizinga

48:11

Video

AI for Business Transformation: The Business of Data

September 18, 2024 | Gretchen Huizinga, Peter Lee, Vijay Mital

The value of data has never been higher—it has become an essential driver of business decisions and it is critical for deploying AI successfully. AI research leaders Peter Lee and Vijay Mital explore how AI…

Vijay Mital sitting at a table having a discussion with Peter Lee and Gretchen Huizinga

48:26

Medical, health, and genomics

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