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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…
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…
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…
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…
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.…
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…
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…