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Standard one-shot learning enables a computer to identify a brand longer lasting pills new class-say a giraffe-after having seen a giraffe only one time. Pande and his college students mathematically tailored the algorithm in order that it will predict the behavior of the molecule in an experimental system, comparable to within the body. They educated the algorithm on two datasets-one with data in regards to the toxicity of different chemicals and the other with data on the uncomfortable side effects of medicines available on the market. With that training, they found that the algorithm might predict toxicity and negative effects of latest compounds better than random likelihood alone. Pande says it’s too soon to know how the know-how might fare commercially, "but possibilities embrace building a start-up round this technology or partnering with those that design drugs," he says. Along with his role at Stanford, Pande is a general companion on the enterprise capital agency Andreessen Horowitz, where he leads the firm’s investments in firms at the cross part of biology and laptop science.

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