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A multi-electrode multiplexed channel brain-computer interface for patient assistive technologies
Unmet Need According to the WHO, in 2019 neurological disorders were recognized as a growing public health challenge resulting in over 500,000 deaths globally. In the US alone, neurological diseases cause an estimated $800 billion-dollar…
Laser surgery targeting and guidance system
Unmet Need Lasers are frequently used in surgery, particularly in dermatology and oncology, to excise harmful tissue from the body. However, due to the difficulties in guiding laser surgical instruments, these tools may fail to…
An artificial intelligence powered direct prediction model of machine parameters to enhance patient specific pre-treatment during radiation therapy
Unmet Need Intensity modulated radiation therapy (IMRT) and volumetric modulated radiation therapy (VMAT) are commonly used radiation therapy techniques that are characterized by their highly conformal dose distributions and require pre-treatment quality assurance to ensure…
Smart microscope for diagnosing disease
Value Proposition Since its invention, the microscope has been optimized for interpretation by a human observer. Recently, however, deep learning algorithms have been developed for automated image analysis in a variety of important contexts, such…
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…
Machine learning algorithm to improve performance of hearing aids and cochlear implants in reverberant environments
Unmet Need In the US, nearly 30 million adults require assistive hearing technology such as hearing aids and cochlear implants. Even with assistive devices, hearing impaired individuals have particular trouble with speech recognition in reverberant…
Parametrization of fractal signature data
The risk of knee osteoarthritis progression can be predicted from the subtle characteristics revealed on a knee radiograph of the subchondral bone, i.e. bone that underlies the articular cartilage. This technology is software code to…
Pallialytics, a machine learning model to determine palliative-care eligible patients
Unmet Need Palliative care is specialized medical care that is focused on providing seriously ill patients with relief from symptoms, pain and stress. Palliative care can be provided at any time during an illness with…
Machine learning algorithm to predict malignancy in thyroid nodules
Value Proposition An estimated 10% of the general population in the United States are expected to develop a thyroid nodule in their lifetime. Although the vast majority of thyroid nodules are noncancerous, a small proportion…
A high-speed echocardiographic system that can assess cardiac function in real-time
Unmet Need Since its inception in the mid-1970s, real-time echocardiography employing phased array principles has had a significant impact on the practice of medicine particularly in cardiology. The real-time or live nature of image formation…
Systems and methods for automated radiation treatment planning with decision support
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…
Systems and methods for learning and accumulating optimal strategies for radiation treatment planning
Unmet Need Cancer is a leading cause of death worldwide, with almost 10 million deaths and over 19 million new cases in 2020. These numbers are expected to grow, with 28 million new cases estimated…