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Multi-Modal Sensing Platform for Diagnosing Depression and Schizophrenia
Application
A multi-sense deep learning platform and interview protocol used for detection and assessment of depression and schizophrenia.
Key Benefits
Automated and remote mental illness assessment without the need for self-reporting or clinical observation.
Improved disease tracking for patients and clinicians.
A more objective classifier and...
Published: 7/30/2024
Contributor(s): Gari Clifford, Robert Cotes, Mina Boazak, Zifan Jiang, Seyed Salman Seyedi, Ali Bahrami Rad
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Artificial Neural Network for Prediction of Clinical Outcomes
Application
A machine learning model to predict the need for ventriculoperitoneal shunt after posterior fossa tumor resection.
Key Benefits
Highly accurate prediction of post-surgical complications.
Reducing healthcare costs by predicting prognoses and increasing efficiency of post-surgical treatment.
Market Summary
Neurosurgical procedures...
Published: 7/30/2024
Contributor(s): Kimberly Hoang, Ali Alawieh, David Bray
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Automated Sleep Analysis Using Cardiovascular Signals
Application
Sleep stage classification algorithm and diagnostic platform.
Key Benefits
Real-time sleep classification using a single electrocardiogram sensor.
Eliminates the need for multiple head, eye, skin, and heart sensors with current diagnostics.
Preliminary results using human data demonstrate high accuracy in identifying different sleep...
Published: 9/26/2024
Contributor(s): Gari Clifford, Shamim Nemati, Qiao Li, Supreeth Shashikumar
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An Algorithm for Optimized Patient-Specific Phase Selection During Stereotactic Body Radiation Therapy (SBRT)
Application
An algorithm for optimizing SBRT tumor targeting.
Key Benefits
Reduction in motion errors
Faster treatment planning
Applicable on different treatment modalities such as IMRT and VMAT
Minimize dose delivery to surrounding organs-at-risk
Does not rely on a physician’s subjective judgment
Market Summary
SBRT is a radiation...
Published: 10/17/2024
Contributor(s): Mohammad Khan, Jerome Carl Landry, Lei Zhu
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System for Automated Analysis of Sleep and Wake States
Application
Algorithm for automatic diagnostic or prognostic monitoring of sleep/wake stages from movement and physiological signals.
Key Benefits
Device captures and differentiates unbiased sleep or wake information from different physiological signals.
99.8% less data storage space needed over current technology.
Capable of use in privacy of...
Published: 10/17/2024
Contributor(s): Gari Clifford, Ayse Cakmak, Adam Willats, Christopher Rozell
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Psychosis Prediction Using Speech Patterns
Application
Linguistic software to predict and diagnose psychosis.
Key Benefits
New method of diagnosing psychosis.
Very high accuracy rate (86.7%).
Market Summary
Psychotic disorders are mental illnesses characterized by delusions, hallucinations, and disorganized thinking and speaking. Schizophrenia is an example of a psychotic disorder....
Published: 7/30/2024
Contributor(s): Phillip Wolff, Jinho Choi
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