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McGill University team develops AI that can detect infection before symptoms appear
MONTRÉAL, JUL 30 – The AI platform detected nearly 90% of respiratory infections up to 72 hours before symptoms, enabling earlier medical intervention to reduce hospitalizations and healthcare costs.
- Researchers at McGill University developed an AI platform that predicts acute systemic inflammation before symptoms appear using wearable biometric data.
- The AI model was created because early infection detection based on symptoms or PCR testing often occurs too late for effective treatment.
- In a study with 55 healthy adults inoculated with a weakened flu vaccine, the AI analyzed over two billion data points from smart rings, watches, and shirts.
- The AI accurately identified almost 90% of confirmed positive cases and was able to detect signs of inflammation related to COVID-19 in four infected individuals up to three days before symptoms emerged.
- This technology could expand the therapeutic window, enabling earlier intervention, improving personalized medicine, and potentially reducing hospitalizations and healthcare costs.
10 Articles
10 Articles
The Peterborough Examiner
McGill University team develops AI that can detect infection before symptoms appear
MONTRÉAL - Researchers at McGill University say they developed an artificial intelligence platform that can predict when someone is about to come down with a respiratory tract infection before they start to feel sick.
McGill team develops AI to detect infection before symptoms appear
An artificial intelligence platform developed by researchers at McGill University can accurately predict acute systemic inflammation even before the first symptoms appear, based on data provided by various wearable technologies. This could one day allow doctors to tackle the problem days earlier, particularly in patients whose health is already fragile and for whom a new […]
Using AI and wearable sensors to detect inflammation before symptoms appear
Modern medicine is largely reactive—treating illness only after symptoms emerge. But a new study from the Research Institute of the McGill University Health Center (The Institute) and McGill University points to a more proactive future: one where silent signs of infection are detected before we even feel sick.
A platform of artificial intelligence developed by researchers at McGill University is able to accurately predict acute systemic inflammation even before the onset of the first symptoms, based on data provided by different ready-to-wear technologies
MONTREAL — An artificial intelligence platform developed by researchers at McGill University is able to accurately predict acute systemic inflammation even before the onset of symptoms, based on data provided by different ready-to-wear technologies. This could one day allow physicians to tackle the problem a few days earlier, especially in patients with already fragile health conditions and in whom a new infection could have serious consequences…
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