Raising Health cover image

Raising Health

Forecasting Human Health with Jeffrey Kaditz

Jul 18, 2023
25:12

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Creating a digital twin of a person through new imaging technology allows for tracking health changes over time, potentially leading to forecastable healthcare outcomes.
  • Integrating high-dimensional imaging data with genetics, biochemistry, vitals, and medical history enables the development of comprehensive models to detect potential health risks and effectively allocate healthcare resources.

Deep dives

Advancements in Human Imaging and Health Forecasting

In this podcast episode, the host interviews Jeffrey Cadets, founder of multiple companies, including Q-Bias, about his journey in building a new kind of imaging technology. After a car accident, Cadets became obsessed with understanding how MRIs work and realized the unscientific nature of current MRI technology. He applied this insight to create a new kind of imaging that generates a digital twin of a person, enabling the tracking of health changes over time. The goal is to develop large biological models (LBM) of humans that can accurately predict health outcomes, with the potential for personalized healthcare agents and forecasting capabilities rivaling weather predictions.

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