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.

clear all ✕

why aren't all 8 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

Insight
Kaditz: Genomic disease prediction requires time-series biomarker data
“I think in order for genomics to be used in diagnostics or predictive models of are you going to get sick, I think it has to be combined with actual time series biomarker data”
Jeff Kaditz Jan 2, 2019 ▶ 10:20 a16z Podcast | When Will Genomics Live Up to the Hype?
Insight
Kaditz: Longitudinal physiological data contains more information than genetics alone
“Even if you're a twin, even if two people have the same genome, they actually won't necessarily express the same phenotypes, which to us means that there's more information encoded in the evolution of your physiological state and the trajectories in your physi…”
Jeff Kaditz Jan 2, 2019 ▶ 4:33 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Genetic code alone cannot be the silver bullet for personalized medicine
“Human physiology is a long tail distribution. So your genetic code cannot be the kind of, you know, silver bullet that is magically going to bring us to the age of personalized medicine.”
Jeff Kaditz Jan 2, 2019 ▶ 4:53 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Data scientists would never discard 70-percent accurate diagnostics like mammograms
“If mammograms have a predictive power information value in terms of defining or predicting whether or not somebody has breast cancer with the 70% accuracy, no data scientist in the world would throw out a variable that gave you That amount of information. They…”
Jeff Kaditz Jan 2, 2019 ▶ 12:45 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Tracking individual baselines is more sensitive than population-wide clinical thresholds
“Doing a clinical study and coming up with an absolute threshold is inherently, we know from a lot of other sciences, less sensitive than tracking deltas in the same system.”
Jeff Kaditz Jan 2, 2019 ▶ 23:16 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Donating personal health data impacts humanity far more than organ donation
“If I donate an organ, I can save one person's life. If I donate my data, I can help save the lives of every person who ever is born ever after me.”
Jeff Kaditz Jan 2, 2019 ▶ 28:28 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Value-based healthcare requires continuous monitoring to define success metrics
“If you're going to have a value-based care model, if you're not monitoring the population continuously and regularly, you really don't have a way to know if, you know, somebody is getting healthier or not. So unless we have a way to quantify what it means to g…”
Jeff Kaditz Jan 2, 2019 ▶ 7:17 a16z Podcast | Health Data -- A Feedback Loop for Humanity
Insight
Kaditz: Pharmacogenomics is the lowest-hanging fruit in genomic applications
“Using genetics to determine which drugs you're most likely to respond to. I think that that is, like, the lowest hanging fruit.”
Jeff Kaditz Jan 2, 2019 ▶ 10:05 a16z Podcast | When Will Genomics Live Up to the Hype?
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