A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Recent advances in machine learning have markedly enhanced the forecasting of groundwater levels, a critical factor in managing dwindling water resources worldwide. The integration of sophisticated ...

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

Multiple myeloma is a cancer in which plasma cells, which normally produce antibodies, multiply uncontrollably in the bone marrow. There is currently no cure. However, various therapies can stabilize ...

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 ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

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 ...

Researchers developed and externally validated a machine learning model to predict the 28-day mortality risk in ICU patients ...

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 can predict hepatocellular carcinoma (HCC) risk using routinely available data, according to a study ...

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out ...