[SPECIAL EDITION] 🍭 The Metabolic Hijack: Algorithmic Engineering of Modern Disease

[SPECIAL EDITION] 🍭 The Metabolic Hijack: Algorithmic Engineering of Modern Disease

From DjamgaMind: Executive Intelligence (The Technology Business Forensic Network) - No ADS by Etienne Noumen

May 27, 2026 · 24 min · Season 7 · Episode 17

About this episode

This episode investigates the modern chronic disease engine and explores the impact of dietary choices on health, featuring insights from Dr. David Unwin's work on Type 2 diabetes and the role of food addiction and AI in food design.

🎧 Listen ADS-FREE: https://podcasts.apple.com/us/channel/djamgamind/id6760446113 Visit our Research Hub at https://djamgamind.com Subscribe to our Newsletter at https://enoumen.substack.com #DJAMGAMIND #AIRIA Summary: In this special investigative edition, we deconstruct the modern chronic disease engine. We analyze the pioneering clinical work of Dr. David Unwin, who translated the glycemic load of foods into "teaspoon of sugar" equivalents to reverse Type 2 diabetes. We dive into the pathophysiology of Non-Alcoholic Fatty Liver Disease (NAFLD) and how fructose acts as a silent data sink. We explore the neurochemical hijack of food addiction and the molecular links between glucose and oncogenesis. Finally, we expose the algorithmic arms race: how Big Food uses AI to design hyper-palatable foods, and how health tech is deploying machine learning to restore metabolic health. Itemized Important Topics: The Teaspoon Metric: Dr. David Unwin's framework showing a healthy adult has only 4 grams (one teaspoon) of circulating blood glucose. The Silent Data Sink: How dietary fructose bypasses peripheral circulation, driving hepatic lipogenesis and fatty liver disease. The Neurochemical…

People in this episode

Host: Etienne Noumen

Topics covered

  • chronic disease
  • Type 2 diabetes
  • Non-Alcoholic Fatty Liver Disease
  • food addiction
  • algorithmic engineering
  • hyper-palatable foods
  • metabolic health

Keywords

  • glycemic load
  • fructose
  • food addiction
  • sugar consumption
  • oncogenesis
  • machine learning
  • Big Food
  • metabolic health

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