Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Explore how proteomics in biomarker discovery accelerates diagnostic assay development and improves clinical validation.

Researchers at the University of Granada have revealed that the Nutri-Score labeling system, commonly used in Europe to ...

In the early phases of depression and psychosis, patients often show altered inflammatory markers in the blood and structural changes in the gray matter of the brain. This was demonstrated in the ...

The 2026 Improving Musculoskeletal Patient Care Through Outcomes Research (IMPACT) Award was presented to Kevin Shea, MD, FAAOS and the Research in Osteochondritis of the Knee (ROCK) Research Study ...

Robotic-assisted total joint arthroplasty (TJA) continues to gain popularity, with the volume of robotic-assisted procedures increasing 601.2% between 2015 and 2020.(i) New research presented at the ...

Researchers at the University of Granada have revealed that the Nutri-Score labeling system, commonly used in Europe to ...

The surplus consists largely of degenerate features—multiple peaks spawned by one metabolite through adducts, in-source ...

A new study published in the journal of BMC Surgery showed that shorter operational time, less intraoperative blood loss, a ...

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.

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...