Microsoft Health Futures
Nouvelles et reportages
GPT-4’s potential in shaping the future of radiology
| Javier Alvarez-Valle et Matthew Lungren
This research paper is being presented at the 2023 Conference on Empirical Methods in Natural Language Processing (opens in new tab) (EMNLP 2023), the premier conference on natural language processing and artificial intelligence. In recent years, AI has been increasingly…
Dans l’actualité | Harvard Business Review
GenAI Could Transform How Health Care Works
Consider how Napster, the networked file sharing system, upended the music industry. The emergence of generative AI language models like ChatGPT, has much in common with this Napster-initiated inflection point: a breakthrough technology with breathtakingly fast adoption, appropriation of other…
Dans l’actualité | Nature
An AI revolution is brewing in medicine. What will it look like?
Jordan Perchik started his radiology residency at the University of Alabama at Birmingham near the peak of what he calls the field’s “AI scare”. It was 2018, just two years after computer scientist Geoffrey Hinton had proclaimed that people should…
Neural Graphical Models
| Harsh Shrivastava et Urszula Chajewska
This research paper was presented at the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (opens in new tab), a premier forum for advances in the theory and practice of reasoning under uncertainty. In the field…
Dans l’actualité | TechCrunch
Microsoft open sources EvoDiff, a novel protein-generating AI
This week, Microsoft introduced a general-purpose framework, EvoDiff, that the company claims can generate “high-fidelity,” “diverse” proteins given a protein sequence. Different from other protein-generating frameworks, EvoDiff doesn’t require any structural information about the target protein, cutting out what’s typically…
Abstracts: September 13, 2023
| Gretchen Huizinga, Ava Amini, et Kevin Kaichuang Yang
The new #MSRPodcast series “Abstracts” is your source for cutting-edge research in brief. In the first episode, join researchers Ava Amini and Kevin K. Yang to learn about their new paper on using evolutionary-scale protein data to improve protein design.
Dans l’actualité | CNBC
Microsoft and Paige are building the world’s largest AI model for detecting cancer
Microsoft announced Thursday it is teaming up with digital pathology provider Paige to build the world’s largest image-based artificial intelligence model for identifying cancer. The AI model is training on an unprecedented amount of data that includes billions of images,…
Collaborators: Project InnerEye with Javier Alvarez and Raj Jena
| Gretchen Huizinga, Javier Alvarez-Valle, et Raj Jena
Microsoft Health Futures’ Javier Alvarez & oncologist Raj Jena have been collaborating for years on AI-assisted medical imaging. Today, their work is seeing real-world impact, helping doctors accelerate cancer patients’ access to treatment.
After leading strategy for a health plan and a pioneering digital-health startup, Sullivan wanted an even bigger arena. Sullivan joined Microsoft in 2017 to help the company’s global research organization find its footing in healthcare. As the senior director of…