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An algorithm to measure social traits like trustworthiness in video interactions

An algorithm to measure social traits like trustworthiness in video interactions

Unmet Need As humans interact with each other, their emotions and behaviors become coordinated over time. This phenomenon is referred to as “social synchrony”. These types of socially synchronized interactions correlate with how much people…

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An artificial intelligence powered direct prediction model of machine parameters to enhance patient specific pre-treatment during radiation therapy

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…

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MRHistology complement to light sheet microscopy

MRHistology complement to light sheet microscopy

Unmet Need Brain researchers frequently rely on mouse models to conduct basic research on brain structure/function, pathology, connection, and a host of mouse models of neurologic disease. Light sheet microscopy is an emerging technology that…

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Smart microscope for diagnosing disease

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…

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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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Van-Cittert Zernike ultrasound imaging for improved contrast and noise reduction

Van-Cittert Zernike ultrasound imaging for improved contrast and noise reduction

Unmet Need Diagnostic ultrasound is used in the assessment of a broad range of medical conditions spanning tumors, heart abnormalities, joint inflammation, and thyroid diseases, which collectively affect millions of Americans annually. These conditions encompass…

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Machine learning algorithm to improve performance of hearing aids and cochlear implants in reverberant environments

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…

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Parametrization of fractal signature data

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…

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Algorithms for analysis of knee radiographs

Algorithms for analysis of knee radiographs

Value Proposition Knee osteoarthritis accounts affects at least 19% of American adults aged 45 years and older. It is a disabling joint disease with causes that remain poorly understood but are commonly attributed to aging…

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Pallialytics, a machine learning model to determine palliative-care eligible patients

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…

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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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Memory-efficient deep learning algorithms for computed tomography image reconstruction

Memory-efficient deep learning algorithms for computed tomography image reconstruction

Unmet Need Using high resolution images such as computed tomography (CT) has become a popular tool to guide medical interventions from radiotherapy to dental implantation. The market for CT services is expected to grow from…

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