Machine learning algorithms may accurately predict inborn errors of immunity (IEI) in children with persistently low serum IgE.

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

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

Now that we know the definitions of both terms, we can summarize that machine learning algorithms are sets of instructions that allow machines to learn data patterns with which to make predictions or ...

We conducted a retrospective, country-level study integrating GLOBOCAN 2022 incidence and mortality data, ClinicalTrials.gov records (2004-2025), and socioeconomic indicators (United Nations ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

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