In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.

Researchers at Fondazione Policlinico Universitario Agostino Gemelli IRCCS have developed a promising machine learning algorithm capable of predicting survival and cause of death for patients with ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can ...

Smart city initiatives are generating vast amounts of data from sensors, cameras, mobile devices, and digital service ...

Bloodstream infections (BSI) can turn deadly fast, particularly for patients with weakened immune systems. A new study from Houston Methodist Research Institute finds that artificial intelligence can ...

Your brain is constantly guessing what others think. Scientists just found the signal. In A Nutshell Researchers identified a specific brain signal that activates each time a person revises their ...

In what ways does chromatographic co-elution affect MS2 spectral quality, molecular networking, and the accuracy of ML models trained on MS2 data?

Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...