Microsoft Health Futures
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GHDDI and Microsoft Research use AI technology to achieve significant progress in discovering new drugs to treat global infectious diseases
| Tie-Yan Liu and Tao Qin
The Global Health Drug Discovery Institute and Microsoft Research are using AI to innovate in life sciences by accelerating the development of new treatments for global infectious diseases like tuberculosis and COVID. Find out how.
In the news | NEJM AI
Multimodal Generative AI for Precision Health
The dream of precision health is to develop a continuous learning health system where new health information is instantly incorporated to optimize care delivery and accelerate biomedical discovery. Multimodal generative AI has the potential to drastically accelerate progress toward precision…
In the news | ACM NEWS
Multimodal AI Connects the Digital Dots
Advances in artificial intelligence (AI) have arrived at breathtaking speed over the last few years. Computer vision has come into focus, robotics has marched forward, and generative AI has moved squarely into the mainstream of society. Yet, for all the progress,…
GPT-4’s potential in shaping the future of radiology
| Javier Alvarez-Valle and 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…
In the news | 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…
In the news | 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 and 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…
In the news | 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, and 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.