In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

IMF researchers show that satellite data, especially nighttime lights combined with machine learning can reliably estimate ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Background: Despite advances in acute myocardial infarction (AMI) management, long-term risks such as cardiovascular mortality, recurrent AMI, and heart failure remain substantial. Traditional risk ...

Recent study reveals machine learning's potential in predicting the strength of carbonated recycled concrete, paving the way ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

Objective: To evaluate and to compare machine learning models for predicting hypertension in patients with diabetes using routine clinical variables. Methods: Using Behavioral Risk Factor Surveillance ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

The modern gaming industry operates on player engagement and retention. While high-quality content is the primary draw, the most effective monetization systems rely on psychological principles that ...