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EEG-based monitoring of brain recovery following stroke

EEG-based monitoring of brain recovery following stroke

Unmet Need Stroke is the third leading cause of disability in the US, affecting 800,000 annually. Stroke occurs when blood supply to the brain is impeded, leading to brain damage. Currently, recovery from stroke is…

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Connecting cardiac and respiratory 3DCT imaging for 5DCT heart motion management

Connecting cardiac and respiratory 3DCT imaging for 5DCT heart motion management

Unmet Need Ventricular tachycardia (VT) is a primary condition of heart disease noted as an irregularity of heart rhythm due to improper electrical signaling in the ventricles that causes an abnormally high heart rate. VT…

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Breast cancer risk prediction technology using genomic classifier

Breast cancer risk prediction technology using genomic classifier

Unmet Need The earliest form of breast cancer, ductal carcinoma in situ (DCIS), is diagnosed in almost 50,000 people in the U.S. each year. DCIS is considered noninvasive, as abnormal cells have not spread out…

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A smartphone-based detector for mobile health applications

A smartphone-based detector for mobile health applications

Unmet Need It is estimated that there are over 6 billion smartphone users worldwide, which translates to almost 83% of the world’s population. Due to their widespread use, smartphones present a golden opportunity to redefine…

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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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Machine learning algorithm to predict malignancy in thyroid nodules

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…

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A computational algorithm-based method for extracting intrinsic fluorescence properties of tissue

A computational algorithm-based method for extracting intrinsic fluorescence properties of tissue

Value Proposition Fluorescence spectroscopy has been used successfully to discriminate premalignancy and malignancy in a number of organ sites. However, due to the complex interplay of absorption, scattering, and fluorescence in tissue, it is difficult…

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Optical device for in vivo assessment of tissues

Optical device for in vivo assessment of tissues

Value Proposition Fluorescence and diffuse reflectance spectroscopy in the ultraviolet-visible (UV-VIS) spectrum are increasingly being investigated for tissue characterization. These biological scatterers, absorbers, and fluorophores may be used to indicate the existence of certain diseases.…

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Algorithm for improving the clarity of electrocardiograms for patients with LVADs

Algorithm for improving the clarity of electrocardiograms for patients with LVADs

Unmet Need Electrocardiogram (ECG) measurements are an important tool for monitoring patient heart health and can detect issues related to arrythmias, heart attacks, and cardiomyopathy. Heart health is especially important to monitor in patients who…

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A deep machine learning algorithm to aid the diagnosis of cardiac transplant rejection

A deep machine learning algorithm to aid the diagnosis of cardiac transplant rejection

Value Proposition Transplant rejection remains a significant clinical concern following solid organ transplants, including cardiac transplantation. Although endomyocardial biopsy to diagnose cardiac allograft rejection is the gold standard of histologic grading of biopsy samples for…

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