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Explainable AI for Biology and Medicine with Su-In Lee - #642
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
The Importance of Explanations in Machine Learning
In this kind of a problem, and then as I said, there will be tens of thousands of, you know, pairwise combination of those drugs. And so in this kind of situation, not only the prediction, but also explanations will be extremely important. So what we did in this paper was that we got the explanations. We computed the chef values for many combinations of drugs from the machine learning model. And then we analyzed that, and then we identified the unifying principle in terms of when, in what case drugs, any pair of drugs, A and B have a synergy. Then we identified a pathway, it is called stemness pathway. Usually less differentiated cancers have worse prognosis
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