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

A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...

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

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

Researchers at IIT Mandi have developed an advanced real-time landslide monitoring system using machine learning and ...

Researchers developed an AI model that analyzes health records to predict preeclampsia risk late in pregnancy, helping doctors monitor mothers and prevent complications.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

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

A team of researchers at the Technical University of Munich and ́Ecole Polytechnique Fédérale de Lausanne has developed an innovative computational approach combining machine learning and Raman ...

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

Incorporating marble dust and polypropylene fibers in concrete boosts strength and durability, highlighting the role of ...