Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

A new review highlights how machine learning is transforming the way scientists detect and measure organic pollutants in the ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

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, ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...