How Wearable Temperature Sensors Predict Illness Before Symptoms episode artwork

EPISODE · Jun 18, 2026 · 10 MIN

How Wearable Temperature Sensors Predict Illness Before Symptoms

from The Wearable Tech Podcast with Fexingo: Smartwatches, Fitness Trackers, and Health Devices · host Fexingo

Episode 58 of The Wearable Tech Podcast explores how continuous skin temperature monitoring is being used to detect viral infections, menstrual cycle shifts, and circadian rhythm disruptions days before symptoms appear. Lucas and Luna examine the Oura Ring's temperature sensor data from a University of California study showing elevated temperature signals 48 hours before COVID-19 positive test results, discuss how the Apple Watch Series 8 and 9 track wrist temperature changes to predict ovulation and fever onset, and consider the privacy implications of insurers accessing this thermal biometric data. The hosts also talk about why the episode is ad-free and how listeners can support the show at buy me a coffee dot com slash fexingo. #WearableTech #TemperatureSensor #SmartRing #OuraRing #AppleWatch #HealthMonitoring #InfectionDetection #CircadianRhythm #Privacy #Biometrics #FitnessTracker #MenstrualHealth #HealthTech #FexingoBusiness #BusinessPodcast #Technology #Podcast #Wearables Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Jun 18, 2026

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How Wearable Temperature Sensors Predict Illness Before Symptoms

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This episode was published on June 18, 2026.

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