The advances in this field will probably come from people like the biologists quoted at the end of the article, who are using these new techniques to improve workflow and identify new techniques to explore biology

The google stuff, as others have said, seems...useless. Deepvariant performs just as well, but not better, than conventional methods. As far as being able to tell someone's age or smoking status or blood pressure, that is already done pretty well by...asking people, looking at birth certificates or using a blood pressure monitor

A few years ago, google publicized its ability to detect macular degeneration or some disease better than humans using deep learning. But it was only marginally better, not enough to change clinical decisions. And to actually implement that tech would be almost impossible given existing healthcare workflows, treatments and economics. The ability to predict heart attack from eye images is cool in theory, but they probably can't actually do that yet technically with a good enough specificity, and how would you get eye images on a regular enough basis for it to be useful?