Research
Advancing data systems and analytics that enable scalable insights, intelligent applications, and scientific discovery.
New advances in AI technology are helping fulfill longstanding expectations for game-changing healthcare improvements. This episode dives into the key advances—such as attention mechanisms, self-supervision, and large-scale data—which enable models to understand and work with…
In this episode, the panel explores the broad use of Microsoft Teams as a trusted communications tool already in use in clinical workflows. By meeting healthcare professionals where they work, with privacy and compliance features…
Healthcare innovation is moving more quickly than ever from research to real-world applications. This episode explores the accelerated research cycles and sharing of information and feedback that drives faster technology incubation, finetuning and scaling. This…
In this episode, the team explores the value of including different perspectives when addressing a complex challenge. They reflect on lessons learned: innovation works best when everyone has a seat at the table. By combining…
In this episode, Microsoft Research and Microsoft Health and Life Sciences leaders reflect on how AI is beginning to ease real-world challenges in healthcare. From reducing the burden of clinical documentation to improving data access…
In this discussion, Matthew Lungren, Jonathan Carlson, Smitha Saligrama, Will Guyman, and Cameron Runde explore how teams across Microsoft are working together to generate advanced AI capabilities and solutions for developers and clinicians around the…
In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semantic structure, and more.
