Can You Make Your Brain 5 Years Younger?
Show notes
Guests:
Paola Telfer
Founder and CEO of Sens.ai
LinkedIn: www.linkedin.com/in/paolatelfer/
Website: sens.ai/
Eric Verdin, MD
President and CEO of the Buck Institute for Research on Aging
LinkedIn: www.linkedin.com/in/eric-verdin-md/
Website: www.buckinstitute.org/
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What if we could track brain aging through function, not just structure?
Phil Newman sits down with Paola Telfer, founder and CEO of Sens.ai, and Eric Verdin, president and CEO of the Buck Institute for Research on Aging, to explore BrainYears™, a functional brain age clock designed to measure how the brain performs as it ages.
Together they explain how 643 EEG, response and performance variables were analyzed using machine learning to build the BrainYears™ model. They discuss why brain function could complement MRI, retinal, proteomic and epigenetic clocks, and how data collected from people aged 13 to their late 80s helped build the model. The conversation also examines a reported 5.18-year reduction in BrainYears™ following a two-month intervention, while stressing that this early finding still requires prospective, placebo-controlled validation.
They also explore neurofeedback, HRV biofeedback and transcranial photobiomodulation, the potential role of BrainYears™ in clinical practice, and Eric’s vision for a scientifically rigorous space between conventional medicine and consumer wellness.
In this episode, you’ll learn:
- Why functional brain aging may be a missing dimension in current aging clocks
- How 643 EEG, response and performance variables were narrowed down using machine learning to create the BrainYears™ model
- Why tracking trajectory over time may be more informative than a single biological age score
- What the early intervention data showing a reported 5.18-year BrainYears™ reduction actually tells us
- Why future validation needs to compare BrainYears™ with MRI-based clocks, proteomics and other measures of brain aging
If you want to understand how brain aging could become measurable, trackable and potentially modifiable earlier in life, this episode explores the science, technology and validation challenges shaping that future.
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Host: Phil Newman: https://qrco.de/bgXpNY