Molecular Tumor Boards: What they are; What they do; What they need

For some time my colleagues and I have been studying cancer tumor boards, now rapidly becoming molecularized by the molbio/omics/big-data revolutions. A Molecular Tumor Board (MTB) is essentially an engineering team charged with giving real-time guidance to a human being facing a life-threatening disease. However, unlike “real” engineering teams, who have numerous tools and strong theories to guide them in their designs, MTBs are pretty much stuck with search engines, which are rather weak reasoning aides. What tools would an MTB need? Honestly, I have no idea. What I can tell you, though, is what they do, and from that we may be able to co-construct, along with them, what they might need.

Speaker Details

Jeff Shrager is a CommerceNet Senior Fellow, consulting CTO of Cancer Commons, and consulting Professor in the Symbolic Systems Program at Stanford. He is best described as a “psychologist of science”. He holds degrees in computer science and cognitive and developmental psychology from Penn and CMU, and has conducted research in molecular and computational biology, cognitive and developmental neuroscience, and in machine learning, NLP, and all that jazz. His BioBike (nee BioLingua) was the world’s first cloud-based biocomputing platform, and remains the only biocomputing platform with symbolic reasoning capabilities. Fun facts: Jeff wrote the version of Eliza that ran on the first personal computers, created the first “Wizard” program (essentially Clippy for Vax VMS), and discovered how the brain does deep learning.

Jeff Shrager
    • Portrait of Jeff Running

      Jeff Running

Series: Microsoft Research Talks