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 pioneering study published in the International Journal of Advanced Artificial Intelligence Research, authored by Olabayoji Oluwatofunmi Oladepo and Opeyemi Eebru Alao of Swansea University, has ...

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

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

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

When reading a passage, readers may pause at a particular word or return to reread it. Studies using eye-tracking, which ...

They are using the pattern recognition capabilities of AI to sort a cacophony of caws and rumbles and chatter into individual ...

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

Doctoral Researcher, University of Nevada, Reno Artificial intelligence is rapidly becoming the invisible engine of modern life, powering electricity grids, hospital systems, transportation networks, ...