How do you understand Machine Learning and its relationship with Precision Medicine?
Can AI help to predict the future?
Part V: How do you understand Machine Learning and its relationship with Precision Medicine?
Prof. Dr. Magnus Boman from Royal Institute of Technology, Stockholm gave an unbiased speech on Precision Medicine - An application case for AI-based foresight. Prof Boman started his talk by emphasising that he will focus on AI for foresight and NOT Foresight on AI as he dwells more into the curious case of Precision Medicine.
He quoted the US National Research Council Report on Precision Medicine (2013), “Precision Medicine refers to the tailoring of medical treatment to the individual characteristics of each patient, but rather the ability to classify individuals into subpopulations that differ in their susceptibility to a particular disease, in the biology and/or prognosis of those diseases they may develop, or in their response to a specific treatment. Preventive or therapeutic interventions can then be concentrated on those who will benefit, sparing expense and side effects for those who will not.“
The most interesting aspect of his talk was the correlation between “machine learning” and “learning machines”. Prof Boman says, “I teach how to program learning machines and not machine learning. How do you learn to learn? If we have to foresight, we have to step on whatever we know until now. ‘Transfer learning’ is my holy grail.”
Read more about AI Tech Foresight in Part VI: What’s next when it comes to leveraging foresight?