Microsoft Health Futures
News & features
UniRG: Scaling medical imaging report generation with multimodal reinforcement learning
| Sheng Zhang, Flora Liu, Guanghui Qin, Mu Wei, and Hoifung Poon
AI can help generate medical image reports, but today’s models struggle with varying reporting schemes. Learn how UniRG uses reinforcement learning to boost performance of medical vision-language models.
In the news | Ragon Institute
Ava Amini and collaborators receive Bits to Bytes grant
The project represents a significant step forward in understanding immune responses at the tissue level. By generating and analyzing large datasets using artificial intelligence and machine learning, the team will develop tools to measure and predict how immune cells interact…
In the news | Fast Company
What 11 top designers want to redesign in 2026
From look-alike SUVs to AI interfaces, designers from Figma, Microsoft, Pentagram, and more reveal the objects, places, and experiences they’re working to improve this year.
GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI
| Hoifung Poon, Jeya Maria Jose Valanarasu, Naoto Usuyama, and Sheng Wang
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
Reimagining healthcare delivery and public health with AI
| Peter Lee, Dr. Umair Shah, and Dr. Gianrico Farrugia
Former Washington State Secretary of Health Dr. Umair Shah and Mayo Clinic CEO Dr. Gianrico Farrugia explore how healthcare leaders are approaching AI when it comes to public health, care delivery, the healthcare-research connection, and the patient experience.
Kevin K. Yang, Sarah Alamdari, Alex J. Lee, Kaeli Kaymak-Loveless, Samir Char, Garyk Brixi, Carles Domingo-Enrich, Chentong Wang, Suyue Lyu, Nicolo Fusi, Philip Rosenfield, Neil Tenenholtz, Ava P. Amini “The body of data available in protein sequences is something fundamentally…
Lack of children in public medical imaging data points to growing age bias in biomedical AI
Alex Lu, Stan Hua (opens in new tab), Lauren Erdman (opens in new tab) Artificial intelligence (AI) is transforming healthcare with applications from interpreting electronic healthcare records (opens in new tab) to detecting cancer from medical images. We ask: are…
PadChest-GR: A bilingual grounded radiology reporting benchmark for chest X-rays
| Daniel Coelho de Castro and Javier Alvarez-Valle
The world’s first multimodal, bilingual radiology dataset could reshape the way radiologists and AI systems make sense of X-rays. PadChest-GR, developed by the University of Alicante with Microsoft Research, has the potential to advance research across the field for years…
Abstracts: Zero-shot models in single-cell biology with Alex Lu
| Gretchen Huizinga and Alex Lu
The emergence of foundation models has sparked interest in applications to single-cell biology, but when tested in zero-shot settings, they underperform compared to simpler methods. Alex Lu shares insights on why more research on AI models is needed in biological…