The Diary Of A CEO with Steven Bartlett

Podbit · The Diary Of A CEO with Steven Bartlett

Leading Cancer Researcher: They’re Ignoring My Research, Cancer Patients Must Know This!

Explore episode Jul 16, 2026
Health & Fitness
The Glucose Ketone Index: Your Mitochondrial Health Report Card

Leading Cancer Researcher: They’re Ignoring My Research, Ca… · Jul 16, 2026 Health & Fitness

The Glucose Ketone Index divides blood glucose (converted to mmol/L) by blood ketone level. A low number means your cells are burning fat efficiently — like Paleolithic man. A high number means you are in the 'red zone' of chronic disease risk. You can measure it yourself with a $30 finger-prick device.

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Is Cancer Genetic?

At 37:38 · chapter starts 32:35

The global cancer distribution is a natural experiment in Seyfried's thesis. Countries living closest to a Paleolithic lifestyle — traditional diet, high physical activity, minimal chemical exposure — have the lowest cancer rates. Albert Schweitzer documented the near-absence of cancer in African tribes living traditionally. High-income nations, by contrast, are saturated with processed carbohydrates, chemical exposure, inactivity, and chronic stress. The wolf-versus-dog analogy crystallises the argument memorably: wolves in the wild, sharing the same biology as domestic dogs, almost never develop cancer. Domestic dogs — fed processed food, under-exercised, living in apartments — have cancer as their leading cause of death. Same genome. Completely different outcome. Same principle holds for humans. Seyfried also addresses genetic risk factors here: BRCA1 and Li-Fraumeni mutations are real, but they are incompletely penetrant — they do not guarantee cancer — and every one of them, when examined, disturbs mitochondrial oxidative phosphorylation in some way, reinforcing rather than contradicting the metabolic theory.

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AI in Healthcare: Where It Helps and Where It Doesn't

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AI nailed Andrew Huberman's vertigo-vs-low-blood-pressure diagnosis because that pattern has been reported millions of times. But every patient's liver is different and data on liver surgeries is scarce worldwide — making solo robot surgery dangerous. The rule is simple: data abundance means AI can help; data scarcity means keep the human in the loop.