U of T Technology & Startup Explorer

Machine learning architecture offers a novel, high-fidelity means of assessing lung physiology during the performance of (monofrequency) oscillometry tests.

Pulmonary Embolism (PE) diagnosis using machine learning (ML) techniques on CT pulmonary angiography (CTPA) is transforming the field of medical imaging. PE is a life-threatening condition where blood clots block the pulmonary arteries, requiring timely and accurate detection to improve patient outcomes. Traditional training and development of ML models for PE diagnosis involve extensive annotation, which is resource-intensive. To make these applications practical, the team has developed optimized training strategies, model architectures, and deployment pipelines for efficient PE detection.

Based on thermal and optical sensing analysis of digital imaging, this technology allows for rapid measurement of photoplethysmogram (PPG), temperature, respiratory rate, and heart rate beyond conventional distance limitations (e.g. at distances more than 1m), with the ability to add other components (e.g. tissue oxygenation and blood pressure) in the future.

The platform allows for clinical-grade data analysis from wearable sensors (e.g. smartwatches, mobile devices) through proprietary machine learning (ML)-based algorithms that extract clinically relevant data and filter out unreliable sensor data. This platform can provide real-time feedback on patient health, generate more accurate predictions, and enable actionable insights and recommendations to improve care.

Hippocamera is a memory augmentation technology that aides in the recall and storage of memories. The technology features novel methods to tag and replay recorded moments to promote rich reliving and storage of experiences.

Rhea is a rehabilitation platform and startup grounded in science that active recovery to heal and care for the brain.

High-performance software solutions and advanced algorithms for cryo-EM data processing.

AutoScribe uses hands-free speech recognition and Artificial Intelligence to help reduce time consuming manual clinical documentation, freeing clinicians to place their focus where it should be – on their patients.

Invasive and non-invasive hardware and software for vital signs monitoring

Treatment of overactive bladder and other disorders via non-invasive electrical neurostimulation.