Predicting Epileptic Seizures Before They Happen—Without Brain Implants, Using HRV

This podcast episode highlights significant advancements in the HealthTech sector as of late 2025, focusing on how artificial intelligence is being used to improve patient outcomes. A major focus is on Quadlytics, a startup utilizing wearable heart rate monitors and specialized machine learning to alert epilepsy patients of upcoming seizures up to 15 minutes in advance. By analyzing autonomic nervous system variations rather than invasive brain implants, this technology offers a practical way for patients to seek safety before an episode occurs. The documents also explore the technical preference for LSTM and Autoencoder models over larger architectures to better handle individual patient data and reduce false alarms. Additionally, the text covers the launch of a new AI-driven matching service by Tribeau, which connects cosmetic surgery patients with doctors based on shared values and historical reviews. Together, these developments illustrate a shift toward personalized medical technology that balances sophisticated data analysis with daily wearable convenience.