Episode guests
AI Summary
Highlights
AI Chapters
Episode notes
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.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
