How Wearable Tech Is Detecting Early Signs of Diabetes

In this episode of The Wearable Tech Podcast, Lucas and Luna explore how smartwatches and fitness trackers are being used to detect early warning signs of type 2 diabetes — sometimes years before a clinical diagnosis. They dive into a 2024 study from Stanford Medicine involving over 1,000 prediabetic participants, where continuous glucose monitors (CGMs) and wearables like the Apple Watch caught glycemic anomalies months before standard blood tests. Lucas explains how algorithms trained on heart rate variability, sleep patterns, and step count can flag insulin resistance with over 85% accuracy. Luna raises questions about false positives and whether this data will make it into your doctor's hands. A thoughtful look at the promise and pitfalls of metabolic health monitoring at scale. #WearableTech #DiabetesDetection #CGM #ContinuousGlucoseMonitor #AppleWatch #StanfordMedicine #Prediabetes #EarlyWarning #MetabolicHealth #HealthTech #WearableSensors #InsulinResistance #MachineLearning #HealthMonitoring #FitnessTracker #Smartwatch #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo