Microsoft Health Futures
뉴스 & 기능
Research Focus: Week of April 7, 2025
In this issue: We introduce a new dataset designed to assist renewable energy infrastructure planners, a new method for denoising MRI imagery, and an AI tool for analyzing distant galaxies. Check out our latest research and other updates.
Research Focus: Week of March 24, 2025
In this issue, we examine a new conversation segmentation method that delivers more coherent and personalized agent conversation, and we review efforts to improve MLLMs’ understanding of geologic maps. Check out the latest research and other updates.
Advancing biomedical discovery: Overcoming data challenges in precision medicine
| Mandi Hall
Our recent study in Nature Scientific Reports identified key challenges in the biomedical data lifecycle and offered 7 actionable recommendations.
Microsoft’s generative artificial intelligence is making it possible to identify patterns in large populations, structure clinical information and simulate clinical trials, optimizing the development of new treatments.
BiomedParse: A foundation model for smarter, all-in-one biomedical image analysis
| Hoifung Poon, Theodore Zhao, Aiden Gu, Mu Wei, 그리고 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.
뉴스에서 | Providence
Comprehensive Genomic Profiling leads to better patient outcomes, new joint study says
New real-world data from Providence, Illumina (NASDAQ: ILMN), and Microsoft Research reveals that Comprehensive Genomic Profiling (CGP), when done early in a cancer patient’s diagnosis, leads to better personalized treatment and patient outcomes. The findings come out of the first…
뉴스에서 | 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, 그리고 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.