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Clinically-Linked ECG and Arrhythmia Repository (CLEAR)

Clinically-Linked ECG and Arrhythmia Repository (CLEAR)

Invention Summary Duke inventors have developed a database of digital 12- lead ECG samples that represent key rhythms of cardiac disorders. Each patient’s disorder was validated by a licensed and board-certified cardiovascular medicine physician to…

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A longitudinal education database for insight into medical school outcomes

A longitudinal education database for insight into medical school outcomes

Unmet Need There are roughly 150,000 medical residents in the US, and each trainee must meet certain benchmarks as they progress through their training. Each resident will have many datapoints collected over the course of…

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POLARIS – a probabilistic soil classification and property database over the contiguous United States at a 30-meter spatial resolution

POLARIS – a probabilistic soil classification and property database over the contiguous United States at a 30-meter spatial resolution

Unmet Need The soil properties have a critical impact on the accuracy of the land surface and hydrologic models, which are essential for applications in monitoring the climate and optimizing agriculture. The soil monitoring market…

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An eLearning platform with comprehensive engagement analytics and curated content to advance surgical education

An eLearning platform with comprehensive engagement analytics and curated content to advance surgical education

Unmet Need As medicine continues to evolve and complexify while academic faculty face growing time constraints, self-study tools like online learning (eLearning) become invaluable for bridging the gap in medical trainee education. In particular, eLearning…

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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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Reducing emergency department crowding through machine learning technology

Reducing emergency department crowding through machine learning technology

Unmet Need Over the last 40 years, the number of hospitals and hospital beds in the U.S. has declined, while the demand for emergency department services has increased. As a result, emergency department crowding has…

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An algorithm for tracking nutrition that can accurately categorize foods based on image

An algorithm for tracking nutrition that can accurately categorize foods based on image

Unmet Need Obesity prevalence for adults in the United States has reached 42.4% according to the most recent report from the National Center for Health Statistics. Given the public health and medical consequences of obesity…

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Pythia – building a surgical database

Pythia – building a surgical database

Value Proposition Despite major advances in surgical care, complications arise in 15% of all US surgical procedures performed, with high-risk surgeries having complications in up to 50% of cases. Targeted preoperative intervention for high-risk individuals…

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A user-friendly web-based query tool for patient care data – Duke Enterprise Data Unified Content Explorer (DEDUCE)

A user-friendly web-based query tool for patient care data – Duke Enterprise Data Unified Content Explorer (DEDUCE)

Value Proposition In many healthcare organizations, comparative effectiveness research and quality improvement (QI) investigations are hampered by a lack of access to data created as a byproduct of patient care. Data collection often hinges upon…

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