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Reconfigurable Probabilistic AI Architecture for Personalized Cancer Treatment - Sourabh Kulkarni - ICRC San Mateo, 2019
Sourabh Kulkarni, University of Massachusetts Amherst, presents collaborative work that first looks at the genetics of cancer and the need for the engineering of personalized treatments. Kulkarni then reviews Bayesian Networks, why it works for answering probabilistic queries, and explains the proposed end-to-end solution.
https://rebootingcomputing.ieee.org/rebooting-computing-week/industrycomputingsummit
Sourabh Kulkarni, University of Massachusetts Amherst, presents collaborative work that first looks at the genetics of cancer and the need for the engineering of personalized treatments. Kulkarni then reviews Bayesian Networks, why it works for answering probabilistic queries, and explains the proposed end-to-end solution.
