Projects
The Microsoft EmpowerMD team has partnered with Nuance Communications to build the clinic of the future. We believe that Dragon Ambient Experience (DAX) will revolutionize healthcare delivery for doctors and their patients.
Multimodal AI for Radiology Applications Project MAIRA is a research project from Microsoft Health Futures that builds innovative, multimodal AI technology to assist radiologists in delivering effective patient care and to empower them in their work. The goal of the…
Machine learning-based image reconstruction can be used to reconstruct images from sparse or corrupted datasets. We are developing the necessary techniques and assets for training and evaluation of image reconstruction models.
Medical image reconstruction is limited by local compute capabilities. We are developing next generation tools for connecting imaging instruments to unbounded scalable compute resources to enable clinical deployment of new techniques.
InnerEye is a research project that uses state of the art machine learning technology to build innovative tools for the automatic, quantitative analysis of three-dimensional medical images.
Modeling cancer outside the body specific to the patient Project Ex Vivo is a joint cancer research collaboration between Microsoft and the Broad Institute of MIT and Harvard. The project spans multiple research areas, including machine learning, statistics, bioengineering, automation,…
Our Microsoft Genomics team recognizes the challenges faced by the genomics community and are striving to build an ecosystem (backed by OSS and Microsoft products and services) that can facilitate genomics work for all.
Eliminating cardiovascular surprises by combining novel sensing techniques, wearable design, signal processing, and machine learning.
Established:
The human immune system is an astonishing diagnostic system, continuously adapting itself to detect any signal of disease in the body. Essentially, the state of the immune system tells a story about virtually everything affecting a person’s health. What if…