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Leveraging machine learning to predict and prevent poor health outcomes

Leveraging machine learning to predict and prevent poor health outcomes

Value Proposition Problem behaviors are the leading preventable causes of death and disability in the U.S. Cigarette smoking, for instance, is responsible for over 480,000 deaths in the U.S. every year, and obesity is responsible…

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Machine learning model to improve adult ADHD diagnosis

Machine learning model to improve adult ADHD diagnosis

Unmet Need Attention-deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with a substantial effect on families and society. It is marked by the person’s hyperactivity, inability to keep focus and control impulsive behaviors. Despite…

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Self-directed mobile coping skills training intervention

Self-directed mobile coping skills training intervention

Value Proposition Patients who require hospitalization commonly suffer from psychological long-term distress. For example, as many as 66% of acute respiratory distress syndrome survivors report symptoms of depression, anxiety, and post-traumatic stress disorder at one-year…

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A stable, easily manufactured intranasal oxytocin formulation that contains only food grade preservatives

A stable, easily manufactured intranasal oxytocin formulation that contains only food grade preservatives

Unmet Need Current formulations of oxytocin used for the treatment of neuropsychiatric disorders have several drawbacks. For example, many intravenous and intranasal formulations, like those approved in Europe, contain preservatives like chlorobutanol which is highly…

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A system for automatic assessment of child mental health

A system for automatic assessment of child mental health

Unmet Need Behavioral disorders such as autism, an anxiety disorder, an aggressiveness disorder, or attention deficient and hyperactivity disorder (ADHD) affect many people throughout the world. Research has shown that treatments for these behavioral disorders…

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Learn to Quit (LTQ) – A mobile application for quitting smoking tailored to patients with severe mental illness

Learn to Quit (LTQ) – A mobile application for quitting smoking tailored to patients with severe mental illness

Value Proposition The tobacco smoking rate among adults diagnosed with serious mental illness (SMI), such as schizophrenia spectrum, bipolar, and recurring depressive disorders, is 3 to 4 times the rate of the general population. People…

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