Wearable AI System Detects Early Inflammation Signs with 90% Accuracy

Innovative Wearable AI System Detects Early Signs of Acute Inflammation with 90% Accuracy In a significant advancement for healthcare monitoring, researchers have developed a wearable-powered artificial intelligence (AI) platform capable of identifying early physiological indicators of systemic inflammation—such as those caused by viral infections—well before symptoms become evident. This breakthrough, achieved by scientists at McGill University in Quebec, offers a proactive approach to managing conditions like respiratory infections and could substantially improve patient outcomes. Traditionally, medical responses to infections are reactive, relying on symptom presentation or delayed testing methods like PCR, which often occur only after the immune response has escalated. This delay hampers timely intervention and can lead to severe complications, especially in high-risk groups such as individuals with chronic respiratory conditions. The new system aims to change that by continuously monitoring vital signs through commercially available wearable devices—including a smart ring, watch, and shirt—that track parameters like heart rate, variability, body temperature, respiratory rate...