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A simple blood test that can predict heart failure earlier than current methods

A simple blood test that can predict heart failure earlier than current methods

Unmet Need Heart failure is the leading cause of morbidity and mortality in the developed world. Approximately 50% of the US population over the age of 45 is expected to have preclinical heart failure, and…

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ClinVar: Determining the factors influencing cardiomyopathy-associated gene variant call evolution

ClinVar: Determining the factors influencing cardiomyopathy-associated gene variant call evolution

Description ClinVar is a freely accessible, public archive of reports of human variations classified for diseases and drug responses, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human…

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Metabolite biomarkers of human heart failure

Metabolite biomarkers of human heart failure

Value Proposition Heart failure is a very common condition affecting approximately 5.1 million people in the United States. Due to its association with age, the incidence of heart failure, as well as the cost of…

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Novel biomarkers to detect Venous Thrombosis without radiation exposure in elderly patients

Novel biomarkers to detect Venous Thrombosis without radiation exposure in elderly patients

Unmet Need Venous thrombosis/thromboembolism (VT/E), the formation of a blood clot in vein, can be a life-threatening condition with 600,000 incidences in the US per year and affecting an estimated 10 million people globally. VT/E…

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A humanized pro-N-cadherin antibody that can be used for treating and predicting heart failure

A humanized pro-N-cadherin antibody that can be used for treating and predicting heart failure

Unmet Need Heart failure is the leading cause of morbidity and mortality in the developed world. Approximately 50% of the US population over the age of 45 is expected to have preclinical heart failure, and…

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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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Mast cell targeting to predict and prevent virus-induced vascular leakage

Mast cell targeting to predict and prevent virus-induced vascular leakage

Value Proposition Dengue is a mosquito spread virus that affects millions of people worldwide. According to the World Health Organization, there are approximately 390 million dengue virus infections each year, and it is the leading…

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Biomarkers to measure patient platelet functional status on aspirin and predict cardiovascular events

Biomarkers to measure patient platelet functional status on aspirin and predict cardiovascular events

Value Proposition Aspirin is the most commonly prescribed anti-platelet medication for prevention of acute coronary syndrome (ACS), which continues to be the leading cause of morbidity and mortality in the U.S. Aspirin has long been…

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