Carnegie Mellon University Xing Bo: Precision Medicine is not so god
On January 14th, the future forum 2017 annual meeting and the first future science awards ceremony was held in Beijing. Professor of the School of Computer Science at Carnegie Mellon University, deputy head of the Department of Machine Learning at Carnegie Mellon University, pointed out in the keynote speech that precision medicine is not as useful as it is. He said frankly: "In fact, we are not very sure whether doctors can really make correct decisions in real time from massive data in the face of big data. This is also the great face we face in technical research and applied research. Challenge.†He pointed out that what is more terrible than cancer and AIDS is “unreliable medical research and many uncomplicated commercial speculationsâ€.
Xing Bo pointed out that the discovery of many genetic mutations, the real statistical risk of disease is not higher than 50%, and many genes are rarely helpful in predicting the risk of disease. Worse, even if you find a flaw in the gene, its effect on your lifestyle or lifestyle has not been found to have a significant impact, and there are many data showing that DNA variation, originally several DNA variations It can explain a disease, but this argument is going bankrupt because the disease is found to be complex and the pathogenic factors usually reach thousands of different mutations.
He believes that precision medicine and smart medicine can really play a role in five areas: e-health, genetic health, smart hospitals, mobile healthcare and privacy.
A computer doctor is actually a decision-making mechanism or decision-making principle based on big data. Such a work is actually a rather complicated parallel between technical research and industrial research. Take the Petuum Med system he participated in. For example, when you need to design such a decision server, you actually need to rely on nature first. Source processing, image recognition, or database logging to turn raw data into a usable formalization, and features that can be used, and then you need to develop very high-end, complex computational engines and artificial intelligence engines for computation and speculation. Finally, you need to develop a human-machine interface to communicate these results with your doctor.
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