Artificially Intelligent Models of Cancer for Precision Diagnosis and Treatment - Exploring Ethics

(01:24 - Main Presentation, 31:48 - Q&A)
A major ambition of artificial intelligence lies in translating patient data to successful therapies. Machine learning models face particular challenges in biomedicine, however, including handling of extreme data heterogeneity and lack of mechanistic insight into predictions. Trey Ideker, PhD argues for “visible” approaches that guide model structure with experimental biology. [3/2020] [Show ID: 35459]

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[adityavardhanjain]

This is such a helpful lecture. Kudos.

[amaraali]

You can provide this in form of slides

[Michael-elxl]

They probably would be more successful with a spiritual approach ...the akashic record would have all the answers with every data point from all time...then they could put the answers in a machine...no doubt Atlantis had some very advanced healing protocols