Researchers from Universiti Tun Hussein Onn Malaysia and Chettinad Institute of Technology developed a Golden Eagle-Assisted ...

Growing global demand for sustainable agriculture is driving scientists to find smarter ways to handle livestock waste. A new ...

Researchers apply AI and machine learning to livestock waste recycling, improving phosphorus recovery, and advancing ...

Researchers have developed a machine learning approach that can optimize the treatment of livestock manure and predict how ...

Sodium-ion batteries (SIBs) emerge as a key option for next-generation electrochemical energy storage, thanks to abundant sodium resources, ...

Machine learning has become the critical enabler for addressing these challenges. Traditional ML models, including random ...

A new study combining multiomics approaches with machine learning has identified plasma protein changes that may allow for ...

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in ...

A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.

GlobalData's AI tool 'Likelihood of Approval (LoA)' model, powered by artificial intelligence (AI), accurately predicts ...

Researchers have identified multiple causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD), ...