drug discovery

“Moreover, we can now see how building a large bank of human genetics variations will transform our understanding on optimizing of drug discovery and response, both for understanding side effects and toxicity, as well as making better drugs and going after new …”

“Nothing kills a great idea faster and has been more of a disaster to innovation, certainly in my industry in drug discovery, than the idea of market projections.”

“Usually in a drug discovery project, you know, if you have a hundred actives, you should be close to a drug, but a hundred data points is, like, tiny for machine learning, right?”

“Yeah, I think you touched on, like, probably the core problem of, like, you know, ML applied to science. While we have a lot of, like, unlabeled data, like, there's just not that much label data out there. And a lot of it is because, like, it's very experiment…”

“Simply doing prediction and getting that prediction right, and by the way, it doesn't have to be right a hundred percent of time, it has to be right, like, one percent of the time, because you can validate the other 99% were it right, and then finding that one…”

“This is not a magic to discover drugs, because the hard part of drugs has always been candidates. Not candidates. It's always been efficacy and safety. The candidates have, since the eighties, have been able to develop more than we could test. It's human patie…”