News & features
BiomedParse: A foundation model for smarter, all-in-one biomedical image analysis
| Hoifung Poon, Theodore Zhao, Aiden Gu, Mu Wei, and Sheng Wang
BiomedParse reimagines medical image analysis, integrating advanced AI to capture complex insights across imaging types—a step forward for diagnostics and precision medicine.
In the news | AAMC
Can AI fundamentally improve patient care?
Microsoft exec and Learn Serve Lead 2024 speaker James Weinstein, DO, says the technology could eventually expand access and quality, but privacy concerns remain. While artificial intelligence (AI) tools are drawing attention for their potential to improve doctor-patient dynamics —…
Stress-testing biomedical vision models with RadEdit: A synthetic data approach for robust model deployment
| Max Ilse, Daniel Coelho de Castro, and 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.
Microsoft Research Forum Episode 4: The future of multimodal models, a new “small” language model, and other AI updates
Explore multimodal & small language models, plus advanced benchmarks for AI evaluation. Microsoft researchers are working on breakthroughs in weather prediction, materials design, even a new kind of computer for AI inference and hard optimization problems.
Large-scale pathology foundation models show promise on a variety of cancer-related tasks
| Kristen Severson and Philip Rosenfield
Microsoft researchers collaborated to release new pathology foundation models. Their report shows models benefit from diverse data, increased model size, and specialized algorithms to enhance the accuracy and applicability of cancer diagnosis and treatment.
Research Focus: Week of June 24, 2024
In this issue: RENC makes 5G vRAN servers more energy efficient; CoExplorer uses AI to keep video meetings on track; Automatic bug detection in LLM-powered text-based games; MAIRA-2: Grounded radiology report generation.
GigaPath: Whole-Slide Foundation Model for Digital Pathology
| Hoifung Poon and Naoto Usuyama
Digital pathology helps decode tumor microenvironments for precision immunotherapy. In joint work with Providence and UW, we’re sharing Prov-GigaPath, the first whole-slide pathology foundation model, for advancing clinical research.
In the news | Forbes
Microsoft Announces New Foundation Model For Digital Pathology, Diving Deeper Into Clinical Medicine
Microsoft is delving even deeper into clinical medicine, evident by the announcement today highlighting the company’s development of a foundation model for pathology in partnership with Providence and the University of Washington. Specifically, the company has leveraged its significant work…
In the news | GeekWire
Microsoft, Providence and UW make use of generative AI for digital cancer diagnosis
Researchers at Microsoft, Providence Health System and the University of Washington say they’ve developed a new artificial intelligence model for diagnosing cancer, based on an analysis of more than a billion images of tissue samples from more than 30,000 patients.…