Jeff Kaditz
Founder, CEO & CTO, Q Bio. On 1 show, 2 appearances. The Shows tab opens the full record on each.
founderexecutiveengineerq.bio ↗
Jeff Kaditz is the founder, CEO, and CTO of Q Bio, a health technology company building full-body MRI hardware and digital twin software. He previously co-founded fintech company Affirm and served as Chief Data Officer at ngmoco.
1shows
2appearances
18statements
6resolved
4supported
0contradicted
67%fully supported
1said about them ↓ Everything Jeff Kaditz said on any show that made the record, most notable first. Each card names its show and opens the statement there.
Kaditz: Building disease predictive models using single variables is asinine
“Human body is an extremely complicated system to build predictive models based on a single variable, which is exactly what clinical studies do. Because that's, you know, what they're designed to do, really, is, is pretty asinine.”
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”
Kaditz: Annual physicals show no correlation with better patient health outcomes
“If you think about what the annual physical consists of, and actually if you ask most physicians and most research, there is actually no real correlation between outcomes and consistently doing annual physicals.”
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…”
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.”
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…”
Kaditz: Patients should own and control all of their personal health data
“People should own and control information about their own bodies and have a right to whatever information they want about it, especially if it's, can be non-invasively gathered and, you know, they're willing to pay for it.”
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.”
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.”
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…”
Kaditz: Physiological states contain a million trillion times more information than genomes
“The best estimates we have for a complete representation of your physiological state at a point in time Is that it's a million trillion times more information.”
Kaditz: Somatic DNA replication transfers 500 terabytes of data per second
“I think the data transfer rate of somatic DNA in your body is about 500 terabytes per second.”
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.”
Kaditz: Dental care costs fell in real terms while healthcare skyrocketed
“If you look at the cost of dental care over time, it's flat or down in inflation-adjusted dollars, and the quality of the care has gone up. If you look at over the exact same period of time in healthcare, it's the exact opposite trend.”
Kaditz: Dental care costs are flat or falling while oral health quality improves
“By most metrics, even adjusted for inflation, the cost of dental care is staying flat or going down. But at the same time, the quality of our dental health is going up”
Kaditz: Most lethal diseases reach advanced stages before symptoms appear
“Most of the most lethal diseases, by the time you're symptomatic, you're in an advanced stage.”
Kaditz: Discarding raw medical data prevents the building of predictive models
“Like right now in medicine, a lot of times we store the result of a diagnostic, but we don't keep the measurement, which actually prohibits us from going back and building models that, you know, in reusing the measurement.”
Kaditz: Dentists often provide the first detection of asymptomatic heart disease
“There are papers and research studies that show that there's a lot of diseases, you know, that somebody can be, you know, have no symptoms for like cardiac disease that dentists get the first look at cause it's correlated to gum disease.”
The other half of the tape: Jeff Kaditz's own voice is left out of every number here. Other people bring the name up 1 time in 1 episode across the shows. every mention, with the transcript →
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2026 1 mention in 1 episode
One line per show, most statements first. The link opens Jeff's full record on that show: the calibration, argument clarity, speaking style and every statement made there.
| Show | Role there | Eps | Statements | Record | |
|---|---|---|---|---|---|
| a16zLEDGER | Founder, CEO & CTO, Q Bio | 2 | 18 | 67% 4/6 | full record on the a16z Podcast → |