The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 10 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Koller: Biological ML requires exploiting domain structure due to dataset limits
“We're still not in the large, large data regime where, you know, blind architectures that don't exploit structure of the problem can just work out of the box. So you really have to understand your problem domain and figure out how to exploit the structure that…”
Koller: Healthcare tech adoption depends on workflow integration, not ML complexity
“It's not really about the machine learning inside the box. It's about how do you get it so that the physician doesn't even have to think about how to use your system. It just happens naturally.”
Koller: Tech founders in healthcare need domain co-founders or industry experience
“You really need to either spend serious time in either a hospital or a company, an existing company that actually has that as a market, or you get a co-founder who's had that.”
Koller: AUC-ROC curves rarely measure real-world performance
“The area under the ROC curve is rarely the thing that you actually care about. That was devised for radars back in the fifties, ok?”
Koller: ML lagged in life sciences due to lack of cross-disciplinary talent
“It wasn't having much of an impact in the life sciences, and I believe one of the main reasons for that is because there's so very few people who actually have the language of both disciplines and are able to bring them together.”
Koller: Machine learning and life scientists speak mutually incomprehensible languages
“You take your average, you know, machine learning scientists and your average life scientists, even if they're very well intentioned, you put them into the room together, they might as well be talking kind Swahili to each other.”
Koller: Healthcare startups cannot achieve meaningful success in two to three years
“Going into the space is a long haul game. This is not a game you're going to win in two to three years.”
Koller: Arrayed cell screening creates environmental noise across separate wells
“One of the really challenging things about cells is because they're live, if you put different cells in different wells, then they each have a slightly different environment, and you get subtle differences, and it's really hard to reconcile.”
Koller: Interdisciplinary innovators must risk looking foolish to ask basic questions
“If you're working at the boundary between two disciplines, you need to go in with the confidence that you are an expert in your domain, and it's okay for you to appear like a complete idiot in the other one, because if you're not going to ask those questions, …”