Medical, health, and genomics
Career Opportunity
Cambridge Residency Programme – Postdoctoral Researcher – Machine Learning for Health & Life Sciences
Microsoft Research Health Futures UK conducts research at the interface of machine learning, healthcare, and life sciences. Drawing on our expertise in biomedical imaging and multimodal deep learning, we are part of global team of…
Video
Inside Microsoft Research Asia: Fundamental research powering the future of AI
Fundamental research is the source of all innovation, and Microsoft Research Asia is dedicated to defining new computing paradigms and unlocking long-term breakthroughs. Through interdisciplinary research across fields such as AI for healthcare, finance, and…
Career Opportunity
Research Intern – Bio LLMs
Microsoft Health Futures is an interdisciplinary team of scientists, engineers and medical doctors focused on developing next generation methods and tools for health and healthcare. We are looking for Research Intern candidates to help us advance…
Career Opportunity
Principal Machine Learning Engineer
Health Futures is a Research and Incubation team working at the intersection of computer science, signal processing, machine learning, and biomedicine. We are seeking a Principal Machine Learning Engineer to accelerate our training of generative…
Career Opportunity
Research Intern – Diagnostic Imaging AI, Imaging Computing, Reconstruction and Inverse Problem
Microsoft Health Futures is an interdisciplinary team of scientists, engineers and medical doctors focused on developing next generation methods and tools for health and healthcare. We are looking for Research Intern candidates to work on the…
Career Opportunity
Research Intern – Office of the Chief Scientific Officer
The Office of the Chief Scientific Officer works with senior leadership at Microsoft on strategy and opportunities at the frontiers of science, engineering, and responsible artificial intelligence (AI). The office collaborates closely with teams across…
Video
Accelerating MRI image reconstruction with Tyger
The Tyger framework enables faster, more accessible medical imaging by streaming raw data to the cloud for accelerated reconstruction—reducing patient wait times and discomfort—while empowering researchers to rapidly test and deploy new algorithms.
Microsoft Research Blog
GigaTIME: Scaling tumor microenvironment modeling using virtual population generated by multimodal AI
Using AI-generated virtual populations, Microsoft researchers uncovered hidden cellular patterns that could reshape how we understand and treat cancer.
Tool
RadEdit model
RadEdit is a latent diffusion model trained to generate and edit chest X-rays from medical reports. It is described in detail in RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing (F. Pérez-García, S. Bond-Taylor, et…