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Personalized Behavioral Risk Prediction Technology

Personalized Behavioral Risk Prediction Technology

Unmet Need Daily environments significantly influence mental and physical health, impacting factors like stress, sleep quality, and behaviors tied to addiction and mental health conditions. For example, specific environments may trigger smoking, exacerbate insomnia, or…

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Automated drug diversion surveillance software

Automated drug diversion surveillance software

Unmet Need Drug diversion is a prevalent issue, among medical professionals. In addition to contributing to the opioid epidemic and causing infection outbreaks, drug diversion costs a yearly $70 billion within the healthcare industry alone.…

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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 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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