Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. They ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...

Software engineers are increasingly seeking structured pathways to transition into machine learning roles as companies expand ...

Social determinants of health and disease complexity were both key factors influencing gaps in care for congenital heart ...

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...

A fast and accurate surrogate model screens over 10,000 possible metal-oxide supports for a platinum nanocatalyst to prevent sintering under high temperatures.