Medical Imaging

Advanced generative modeling can now steer patches of a light-microscopy image toward their most plausible high-resolution counterparts using optimal transport theory. This breakthrough addresses the central conflict in modern neurobiology, where researchers must choose between the expansive speed

The lethal complications of early-onset preeclampsia, including organ failure and seizures, stem from a complex interaction of environmental stressors and developmental cues recorded in the epigenome. For decades, the medical community has grappled with the unpredictable nature of this condition,

The use of a guidance scale hyperparameter allows researchers to control how strictly a generative model adheres to specific clinical descriptions during image synthesis. Lung cancer remains the leading cause of oncological mortality globally, necessitating the development of highly sensitive

International researchers have synthesized data from thousands of records to establish a new technical benchmark for the pixel-level delineation of ischemic stroke lesions. In the high-stakes environment of emergency medicine, the phrase "time is brain" serves as a literal warning of the rapid

The integration of big data with clinical expertise allows computer scientists to sharpen medical judgment rather than replacing the essential role of experienced movement disorder specialists. For decades, the profound unpredictability of Parkinson’s disease has stood as one of the most daunting

A secure clinical analytics platform helps researchers translate raw data from five million patient records into tangible improvements for patient care. The collaboration between the Rush University System for Health and nference signifies a major leap in how academic medical centers leverage vast