Bioz, Using Machine Learning to Optimize Biology, Launches With M

The evolution of technology, from natural language processing to machine learning, is now helping the software world find more places to interact with biology. A company launched today in Palo Alto, CA, that has plans to build a “life science search engine” that may be able to speed up the process of drug discovery and life sciences research. Called Bioz, the startup closed $3 million in seed funding from 5AM Ventures to begin offering its software-as-a-service system. The software, which uses machine learning, sifts through millions of pages of scientific papers to select products, help plan experiments, and perform other research-related functions, with the goal of improving the process of developing treatments for disease. Bioz, founded by CEO Daniel Levitt and Stanford research scientist Karin Lachmi, says it will help…


Link to Full Article: Bioz, Using Machine Learning to Optimize Biology, Launches With M

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