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Research Forum Episode 5 | Marwin Segler
Articles

Chimera: Accurate synthesis prediction by ensembling models with diverse induction biases 

February 25, 2025

Marwin Segler addresses chemical synthesis in drug discovery with a learning-to-rank framework that integrates AI-based models, significantly boosting prediction accuracy and preferred by chemists.

Research Forum Episode 5 | panel discussion
Articles

Panel Discussion: AI for Precision Health: Learning the language of nature and patients 

February 25, 2025

This panel explores the transformative potential of generative AI in learning the language of nature and patients for precision health, from proteins to medical imaging, from electronic medical records to home health monitoring.

Research Forum Episode 5 | Hoifung Poon
Articles

Keynote: Multimodal generative AI for precision health 

February 25, 2025

Hoifung Poon introduces an agenda in precision health, utilizing generative AI to pretrain high-fidelity patient embeddings from multimodal, longitudinal patient journeys. This approach unlocks population-scale real-world evidence, optimizing clinical care and accelerating biomedical discovery.

Gradient background transitioning from blue on the left to pink on the right. In the center, a rectangular box with ‘MAGMA’ written in bold white letters. To the left, an icon of a globe representing Earth. To the right, an icon of a computer monitor displaying a globe. Arrows connect these three elements in a circular flow, indicating interaction or data exchange between Earth, MAGMA, and the computer.
Microsoft Research Blog

Magma: A foundation model for multimodal AI agents across digital and physical worlds 

February 25, 2025 | Swadheen Shukla, Jianwei Yang, Reuben Tan, Qianhui Wu, and Jianfeng Gao

Explore Magma, a foundation model that can empower AI assistants to interpret environments, plan actions, and execute tasks across digital and physical spaces. Now available, learn how it advances the field of agentic AI.

In the news | ConSalud

Microsoft Health Futures: The future of medicine powered by artificial intelligence 

February 24, 2025

Microsoft's generative artificial intelligence is making it possible to identify patterns in large populations, structure clinical information and simulate clinical trials, optimizing the development of new treatments.

The image shows eight different 3D models of protein structures. Each model is color-coded with various segments in blue, green, orange, and other colors to highlight different parts of the protein.
Microsoft Research Blog

Exploring the structural changes driving protein function with BioEmu-1 

February 20, 2025 | Sarah Lewis, Tim Hempel, Jose Jimenez-Luna, Michael Gastegger, Yu Xie, Victor García Satorras, Osama Abdin, Bas Veeling, Ryota Tomioka, and Frank Noé

Meet BioEmu-1 from Microsoft Research. This deep learning model can generate thousands of protein structures per hour, unlocking new possibilities for protein scientists and drug discovery and research.

diagram

In the news | Tech Community

Harnessing AI’s Potential in Healthcare: Overcoming Benchmarking Challenges 

February 20, 2025

In the news | The Wall Street Journal

When Your Last Name Is Null, Nothing Works 

February 20, 2025

Nontra Yantaprasert couldn’t wait to take her husband’s shorter and easier-to-pronounce last name. She didn’t know what kinds of problems it would cause. His last name is Null, the same word used by computer scientists to mean “no value” or…

Three white gaming icons on a green and blue gradient background.
Microsoft Research Blog

Introducing Muse: Our first generative AI model designed for gameplay ideation 

February 19, 2025 | Katja Hofmann

Today Nature published Microsoft’s research detailing our WHAM, an AI model that generates video game visuals & controller actions. We are releasing the model weights, sample data, & WHAM Demonstrator on Azure AI Foundry, enabling researchers to build on the…

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