The study, "Modeling trajectories of routine blood tests as dynamic biomarkers for outcome in spinal cord injury," is published in npj Digital Medicine. More than 20 million people worldwide were ...
Machine learning models using routine health data showed potential to identify people at higher risk of several common ...
To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
Machine learning models using routinely collected health information, such as blood tests, medical history and lifestyle ...
Multicentric Validation of a Complete Blood Count–Based Model for Breast Cancer Risk Stratification in Women Age 40-49 Years Monoclonal gammopathy (MG) is a disorder defined by the presence of ...
Researchers have developed a novel AI model that can analyze a routine whole histopathology image and simultaneously predict cancer subtype, specific genetic mutations, and survival outcomes across 32 ...
University of Johannesburg researchers have built an AI model that uses routine hospital admission data to flag emergency ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results