Computing to solve cancer

How Microsoft computer scientists and researchers are working to ‘solve’ cancer

What started with just three researchers in 1997, the Microsoft Research Lab in Cambridge has grown to more than 130 researchers and engineers today. The freedom of enquiry enabled by Microsoft’s approach to basic and applied research, coupled with the diversity of researchers and engineers in the lab has produced contributions to some of Microsoft’s most successful products and services.

Most of these researchers and engineers are working on solving many of the computer industry’s toughest challenges. But some have a different goal in mind. They’re trying to use computer science to tackle one of the most complex and deadly challenges humans face: Cancer.

Researchers are taking more than one approach in trying to solve cancer. Some are organizing knowledge to better help find treatments, while others are attempting to debug the system and program cells like we would program a computer. Artificial intelligence is also being used to assist doctors and radiologists to personalize cancer treatment and track disease progression. Read all about how our researchers and computer scientists are working to ‘solve’ cancer here.

Take a look at some of the other projects coming out of the research lab in Cambridge:

  • Computing cancer:  Researchers are using artificial intelligence and machine learning computing techniques to augment the talents of medical professionals and assist in more precise diagnosis and treatments.
  • Project Malmo: The Malmo platform is a sophisticated artificial intelligence (AI) platform built on top of Minecraft, and designed to support fundamental research in artificial intelligence.
  • Trusted Cloud: The Trusted cloud project aims to provide customers of cloud computing complete control over their data: no one should be able to access the data without the customer’s permission.
  • FaRM: a new main memory distributed computing platform that exploits RDMA communication to improve both latency and throughput by an order of magnitude relative to state of the art main memory systems that use TCP/IP.

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