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

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Microsoft Health Futures

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Publication

Protein generation with evolutionary diffusion: sequence is all you need

Sarah Alamdari, Nitya Thakkar, Rianne van den Berg, Neil Tenenholtz, Robert Strome, Alan M. Moses, Alex Lu, Nicolo Fusi, Ava P. Amini, Kevin Kaichuang Yang

bioRxiv | November 2024

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Publication

Continuous Analysis: Evolution of Software Engineering and Reproducibility for Science

Venkat S. Malladi, Maria Yazykova, Olesya Melnichenko, Yulia Dubinina

November 2024

Publication

Blended Length Genome Sequencing (blend-seq): Combining Short Reads with Low-Coverage Long Reads to Maximize Variant Discovery

Ricky Magner, Fabio Cunial, Sumit Basu, Ron Paulsen, Scott Saponas, Megan Shand, Niall Lennon, Eric Banks

bioRxiv | November 2024

Publication

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis

Sarah Hooper, Hui Xue

Machine Learning for Health (ML4H) 2024 | November 2024

Publication

Choosing your Surgeon Wisely: Using Provider-Procedure-Volume-Specific Data for Informed Choice

Bill Weeks, Bruno Demuro Segundo, Dan M Lee, Divya Michael, James Weinstein, Juan M. Lavista Ferres

Journal of Community Medicine & Public Health | October 2024

Project

Publication

ProtNote: a multimodal method for protein-function annotation

Samir Char, Nathaniel Corley, Sarah Alamdari, Kevin Kaichuang Yang, Ava P. Amini

bioRxiv | October 2024

Publication

OSAIRIS: Lessons Learned from the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation

Alexandra Constantinou, Andrew Hoole, David C. Wong, G. S. Sagoo, Javier Alvarez-Valle, Kenji Takeda, Tom Griffiths, Amy Edwards, Andrew Robinson, Liam Stubbington, Niall Bolger, Yvonne Rimmer, Thiraviyam Elumalai, K. T. Jayaprakash, Richard Benson, Ian Gleeson, Rebecca Sen, Louisa Stockton, Tian Wang, Stephanie Brown, E. Gatfield, C. Sanghera, Alexandros Mourounas, Barry Evans, Anita Anthony, Renteng Hou, Marian Toomey, K. Wildschut, Aviva Grisby, Gill Barnett, Rose McMullen, Raj Jena

Clinical Oncology | October 2024

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Publication

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Peng Xia, Kangyu Zhu, Haoran Li, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao

ICLR 2025 | October 2024

Microsoft Research Blog

Research Focus: Week of October 7, 2024

October 9, 2024

Simplifying secure decision tree training; Improving accuracy of audio content detection; A novel neurosymbolic system for converting text to tables; New video series: AI for Business Transformation; TEE security protections for container workloads.

Tool

MICON (Molecular-Image Contrastive Learning)

This is the repository for paper “Causal integration of chemical structures in self-supervised learning improves representations of microscopy images for morphological profiling”. Learning effective representations of cells in microscopy images can fuel many applications. Here,…

GitHub Publication

Medical, health, and genomics

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