A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...

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

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Researchers combined hyperspectral Raman imaging with machine learning to chart Alzheimer’s-related chemistry across entire brains. The study highlights uneven disease patterns and metabolic ...

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...

Patna: A new study by researchers at the Central University of South Bihar (CUSB) has identified key priority zones for ...

The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study ...

Kapil Matta, DigitalXForce Middle East Region Lead, elected as President of ISACA UAE – A Proud Milestone for DigitalXForce & ...

From antibiotic resistance to emerging viral threats, the global demand for new medicines is intensifying, yet traditional drug discovery pipelines remain slow and expensive. A new scientific review ...

High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Study uses artificial intelligence to analyze sleep-promoting effects of nearly 1,000 aromatic plants and recognize the ...

The performance of rechargeable batteries is governed by processes deep within their components. A fundamental understanding of electrochemistry, structure–property–performance relationships and the ...