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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…
Detecting and predicting progression of osteoarthritis by biomarker analysis
Unmet Need Osteoarthritis (OA) is a prevalent chronic disease that impacts 32.5 million US adults and hundreds of millions worldwide. Further, global incidence of OA is increasing due to rises in geriatric populations and other…
Surface acoustic wave based separation techniques
Value Proposition Complex biofluids such as blood, urine etc. contain a plethora of particles of interest that are of diagnostic and research interest. Examples of such particles may include exosomes, or Circulating Tumor Cells (CTC).…
HIV-1 incidence biomarkers
Background Measures of HIV incidence are used to help public health officials, researchers, and policy makers monitor the epidemic, evaluate the impact of interventions, and assist in the identification of sites for HIV prevention trials.…
Method to trap and transport small particles with acoustic forces
Value Proposition Acoustic tweezers use ultrasound to create radiation force potential wells that enable precise and contact-free manipulation of physical and biological objects across a broad object size range. It is a fast-developing platform that…
Wearable device for early detection of influenza and common cold
Unmet Need Approximately 10% of the US population is infected with influenza each year resulting in 3 to 5 million severe cases and up to 500,000 deaths. Early detection of influenza-like illness can limit the…
A quality control tool for multi-energy X-ray computed tomography imaging
Unmet Need X-ray computed tomography (CT) imaging devices are ubiquitous in any radiology department and CT examinations are among the most commonly ordered diagnostic procedure. Multi-energy computed tomography is an emerging imaging technology that is…
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 method of identifying a B cell malignancy as Hodgkin’s Lymphoma
Unmet Need Malignancies derived from mature B cells are common and constitute the majority of blood cancers. The biology of these leukemias and lymphomas reflect defined stages of normal B-cell differentiation. Correct diagnosis of B…
Novel diagnostic method for aspergillus Infection
Unmet Need Invasive aspergillosis (IA) is a major cause of critical illness in immunocompromised patients. IA is caused by Aspergillus, a type of fungal mold, and it usually affects the host’s pulmonary structure. While most…
A method for identifying sour-taste receptor ligands as well as compounds that modulate their activity
Unmet Need The taste system is essential for feeding and survival as it helps humans evaluate the nutritional content in food. Every year, taste and smell dysfunctions affect more than 200,000 people, including those undergoing…
A target for identifying and treating metabolic diseases including insulin resistance
Unmet Need The World Health Organization attributes over 70% of all deaths globally to noncommunicable diseases (NCD) including cardiovascular disease, diabetes, and cancer. Risk factors for NCDs include obesity, raised blood pressure, and the regional…