Complexity in Living Systems
summary
Describes building a mechanistic, multi-organ metabolic platform that links genetic, signaling and metabolic models for brain, muscle, liver, adipose and gut into a mechanistic whole-body model, driven by measured diets, activity and drugs. Platform simulates ~1,800 variables and is validated on hospital cohorts (~1,000 patients) to predict glucose dynamics and diabetes risk (example output: 43% risk in 3–5 years). Demonstrates a working diabetes management demo, not an AI black box.
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chapters (13)
- 0:00Intro
- 3:23Central Dogma of Biology
- 7:18Quantification of Systems • Engineering systems are quantified to a level that they are designed, optimized and optimally operated.
- 8:27Introduction: System Analysis and Quantification
- 11:15Design in Nature: Top-Down Approach (Escherichia coll)
- 17:47Example of a "Simple" Complex System
- 18:51Possible Outcomes in the Experiment
- 22:24Complexity in Engineered and Natural Systems
- 25:08System Level analysis of cellular complexity
- 26:55Disease as Systemic Defect
- 31:15Modeling Strategy
- 32:47Bistability in Insulin Signaling Pathway Type II Diabetic State - Effect of PTP
- 37:56Hepato-Intestinal Bile transport system
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