Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
Tech Xplore on MSN
Diffusion-based AI model successfully trained in electroplating
Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion ...
Cleveland-Cliffs, Inc. is a flat-rolled steel company, which engages in provision of iron ore pellets to the North American steel industry. It focuses on the production of metallic and coke, iron ...
Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results