新闻与深度文章
| Hoifung Poon, Jeya Maria Jose Valanarasu, Naoto Usuyama, 和 Sheng Wang
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
| Eric Horvitz, Harsha Nori, 和 Naoto Usuyama
Discover the most effective run-time strategies on the OpenAI o1-preview model, improving accuracy in medical language tasks.
| Hoifung Poon 和 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.
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.…
Research advances are driving real-world impact faster than ever. Episode 2 of Microsoft Research Forum explores how AI is transforming health care and the natural sciences, the intersection of AI and society, and the evolution of foundational AI technologies.
新闻报道 | VentureBeat
Microsoft researchers claim ‘state-of-the-art’ biomedical NLP model
In a paper (opens in new tab) published on the preprint server Arxiv.org, Microsoft researchers propose an AI technique they call domain-specific language model pretraining (opens in new tab) for biomedical natural language processing (NLP) (opens in new tab). By compiling a “comprehensive” biomedical (NLP)…