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Prognosis of cardiac arrest using wearable devices with machine learning
We are building an application where patients can upload their medical data and medication to remind them to take their medication. The application will also have information on their provider.
A specialized wearable fall detecting alert device, to detect a fall of the patient and eventually prevent the fall using ML.
One picture is worth a thousand words
Many patients perceive doctor recommendations to be condescending. To combat this, we collaborated to create a novel electronic health system that improves interactions between doctors and patients.
Named after the Roman god of communication and in honor of Freddie Mercury, the Mercury Project is a website designed for people with chronic illness to thrive in a supportive community
Shhhh. The Sleeping Sorting Hat will monitor your sleeping habits while making you look like a character out of Harry Potter or Santa.
PneuComp: A Pneumatic Compression Device for Venous Thromboembolism (VTE) Prevention
RN2B's mission is to reduce human error without dehumanizing patient care through automated critical attention interventions that integrate our information system infrastructure.
Our aim is to create a machine learning model to predict unknown drug-drug interactions.
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