How Wearables Detect Infections Before Fever

In this episode, Lucas and Luna explore a breakthrough in wearable tech: using smartwatch and fitness tracker data to spot bacterial and viral infections up to 48 hours before symptoms like fever appear. They dig into the science behind resting heart rate and heart rate variability changes, the role of machine learning in personal baselines, and the groundbreaking work from Stanford University that showed how subtle physiological shifts can predict illness. The hosts also discuss what this means for early intervention, from catching COVID-19 earlier to managing chronic conditions, and the practical limitations—like privacy concerns and the challenge of distinguishing illness from other stress factors. Tune in to learn how your wrist could become your first line of defense against getting sick. #WearableTech #HealthTech #Smartwatch #FitnessTracker #InfectionDetection #RestingHeartRate #HeartRateVariability #MachineLearning #StanfordUniversity #PredictiveHealth #EarlyIllnessDetection #COVID19 #PersonalizedHealth #PhysiologicalMonitoring #Technology #BusinessPodcast #FexingoBusiness #Fexingo Keep every episode free: buymeacoffee.com/fexingo