Daily Digest | June 19, 2018

Insilico Medicine: A Hopkins Startup Using AI to Enhance Biomedical Research | Biomedical Odyssey

Insilico Medicine is a startup company housed on the Johns Hopkins Homewood campus whose mission is to “extend healthy longevity through innovative AI solutions for drug discovery and aging research.” The company aims to harness the analytic power in the versatile tools generated from machine learning software to combat aging and improve human health. One initiative from Insilico Medicine is called Young.AI. This branch of the company focuses on identifying markers of aging and recommending lifestyle choices to stall overall age-related health decline.

Original article

 

AI, radiology and the future of work | The Economist

Analysing medical images is a natural fit for “deep learning”, an artificial-intelligence (AI) technique which first attracted attention for its ability to teach computers to recognise objects in pictures. A variety of companies hope that bringing AI into the clinic will make diagnosis faster and cheaper. The machines may even be able to see nuances that humans cannot, assessing how risky a patient’s cancer is simply by looking at a scan. But it is not about to make humans redundant.

Original article

 

Machines learn language better by using a deep understanding of words | TechCrunch

Computer systems are getting quite good at understanding what people say, but they also have some major weak spots. Among them is the fact that they have trouble with words that have multiple or complex meanings. A new system called ELMo (Embeddings from Language Models) adds this critical context to words, producing better understanding across the board. This deep contextualized word representation models both (1) complex characteristics of word use (e.g., syntax and semantics), and (2) how these uses vary across linguistic contexts (i.e., to model polysemy).

Original article | arXiv

 

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