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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…
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…
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…
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…
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…