We have just survived the worst pandemic of our lifetime. More than 700MM people were infected, with over 6MM deaths. It has been called a sixteen trillion dollars virus. Our health data pipeline is not fast enough. And we all became nosophobic. We constantly worry about the next outbreak or worst, the next pandemic. With ongoing conflict around the world, bio-attacks have become a real concern. 

The Department of National Defence of Canada funded a multi-year initiative by GoodLabs Studio to build a smarter and faster health data pipeline. The collective goal was to enable governments around the world with the latest deep learning technology to make the most timely and informed decisions for health and security. 

And that is exactly what we have designed – an AI Syndromic Surveillance System to automatically extract health data directly and anonymously from patient-physician conversations at hospital ERs, health clinics, telehealth, and eHealth.  

To protect patients' privacy, we deployed a complex medical conversation-trained language model inside a mobile device capable of listening to live patient-physician conversations and extracting symptoms and other anonymized information.  

Our two-stage cloud-deployed machine learning models then analyze the symptoms to classify the syndrome, identify syndrome anomalies, and detect outbreaks. We successfully deployed Version 1.0 of our Syndromic Surveillance System live in India in February 2023.  

You can learn more about our Bio-Security A.I. Engineering here: 

• Syndrome Anomaly Detection System 

• Research Paper "A dataset of simulated patient-physician medical interviews with a focus on respiratory cases" in Nature Scientific Data Journal 

• GoodLabs Mobile Symptom Extractor