DataZapp brings AI and machine learning to deliver affordable, predictive demand generation and marketing data for home ...
Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.
The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...
Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.
Hartford HealthCare and MIT co-developed H2O, an analytics platform using machine learning to optimize hospital operational efficiency including improving length of stay and staffing efficiency.
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
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