Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Pickup defects, which we define at late pickups from a vendor or shipper site, represent a very costly challenge in ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Now, prediction markets are rejiggering the odds by requiring forecasters to back their convictions with cash. Participants buy and sell contracts tied to future events, with the resulting prices ...

Mood disorders represent a major global burden and are characterized by substantial heterogeneity in symptom profiles, treatment response, and clinical ...

Abstract: “Worldwide, heart disease is the leading killer. Several forms of cutting-edge medical technology are utilized to treat cardiac illnesses. The biggest issue in hospitals is that many doctors ...

The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...

Overview: Machine learning skills improve when concepts are applied through regular, structured, hands-on projects.Working on ...

Abstract: In India, student dropout rates are influenced by a myriad of economic, social, and institutional factors, highlighting the urgent need to address mental health among students. This study ...