Biomedical Imaging

September 8, 2018

It must be hard for Joseph Stiglitz to remain an optimist in the face of the grim future he fears may be coming. The Nobel laureate and former chief economist at the World Bank has thought carefully about how artificial…

June 7, 2018

All around us, a new generation of technology is changing all of our lives. From the mundane but useful, like the ubiquity of satnavs that stop family arguments and warn us of traffic jams, to the profound and extraordinary, like…

March 7, 2018

TeraRecon has set up a technical demonstration with Project InnerEye, a Microsoft research project, to illustrate the use of the Project InnerEye‘s segmentation technology through the EnvoyAI™ platform. The demonstration of the workflow integration will be on display at the…

February 28, 2018

Working side-by-side with the healthcare industry’s most pioneering players, we are bringing Microsoft’s capabilities in groundbreaking research and product development to help healthcare providers, biotech companies and organizations around the world use artificial intelligence and the cloud to innovate.

November 28, 2017

A team of artificial intelligence experts at Microsoft’s Cambridge, U.K., research lab has spent more than a decade looking at ways that AI could be used to make cancer treatment more targeted and effective.

May 9, 2017

No one single technology exists in a vacuum. Microsoft’s Kinect may have suffered an ignoble slide into obscurity following its troubled pairing with the Xbox One. But its underlying principles, technology and the research that went into developing it now…

September 23, 2016

Microsoft Research says it is close to perfecting software that can measure tumours accurately in 3D from normal Computerised Tomography (CT) scans. The job of determining the extent of tumours is currently done by hand with limited accuracy. The «Inner…

September 20, 2016

Although individual projects vary widely, Microsoft’s overarching philosophy toward solving cancer focuses on two basic approaches: one is rooted in the idea that cancer and other biological processes are information processing systems, and the other is more data-driven.