Wearables Are Now Predicting Allergies Before Symptoms

In this milestone 100th episode of The Wearable Tech Podcast, Lucas and Luna explore how wearable biosensors are predicting seasonal allergies before symptoms even start. They dive into a 2026 study from Northwestern Medicine that used continuous skin temperature, heart rate variability, and sweat pH data from off-the-shelf wearables to forecast allergic rhinitis flares with 89% accuracy up to 48 hours in advance. The hosts break down the specific biomarkers being tracked, why pre-symptomatic intervention matters for the 60 million Americans with seasonal allergies, and how companies like AllerSense and Sensoria are building dedicated allergy-prediction algorithms. They also discuss the broader implications for managing chronic inflammatory conditions like asthma and eczema. The episode closes with a look at what it might take for allergy prediction to become a standard wearable feature. #WearableTech #AllergyPrediction #Biosensors #NorthwesternMedicine #AllerSense #Sensoria #SeasonalAllergies #HealthTech #WearableBiosensors #PredictiveHealth #ChronicInflammation #HRV #SkinTemperature #SweatSensors #Technology #FitnessTrackers #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo