News & features
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.
BiomedParse: A foundation model for smarter, all-in-one biomedical image analysis
| Hoifung Poon, Theodore Zhao, Yu 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.
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.
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.
Microsoft at KDD 2023: Advancing health at the speed of AI
| Hoifung Poon
This content was given as a keynote at the Workshop of Applied Data Science for Healthcare and covered during a tutorial at the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (opens in new tab), a premier forum…
Domain-specific language model pretraining for biomedical natural language processing
| Hoifung Poon and Jianfeng Gao
COVID-19 highlights a perennial problem facing scientists around the globe: how do we stay up to date with the cutting edge of scientific knowledge? In just a few months since the pandemic emerged, tens of thousands of research papers have…