But Austin Huang, Associate Director and the Biomedical Data Science lead in Pfizer's Genome Sciences and Technologies group in Kendall Square, Cambridge, Massachusetts, explains that "the methods that companies like Google and Facebook use to study large, complex datasets can also be used to help predict disease and possible treatment outcomes in human health data." If the ultimate goal of a self-driving car is to navigate a busy city street, in pharmaceutical research, the goal is to navigate the connections between a potential treatment and its effectiveness in treating a disease. Austin Huang, Associate Director and the Biomedical Data Science lead in Pfizer's Genome Sciences and Technologies group And if other fields of AI are any indication, he says, "when breakthroughs happen, change can follow very quickly," likening it to a "tipping point." To enable AI to reach those kinds of breakthroughs, it's important to teach computers how to "think" abstractly in discovering patterns in large datasets.
Jul-17-2017, 11:20:24 GMT