A study shows that people with higher levels of the protein albumin in their urine are at increased risk of developing dementia. The study, led by researchers at Karolinska Institutet, is published in the scientific journal Journal of Internal Medicine.

Could a simple blood test reveal how well someone is aging? A team of researchers led by Wolfram Weckwerth from the University of Vienna, Austria, and Nankai University, China, has combined advanced metabolomics with cutting-edge machine learning and a novel network modeling tool to uncover the key molecular processes underlying active aging. Their study, published in the Nature Journal npj Systems Biology and Applications, identifies aspartate as a dominant biomarker of physical fitness and maps the dynamic interactions that support healthier aging.

Research uncovers how a poet transformed the story of the first “test-tube baby” into a moving tale that helped highlight the women involved.

In two recent studies, University of Texas at Dallas researchers demonstrated how artificial intelligence (AI) and machine learning can be used to address a variety of issues from a social science policy perspective.

This review elucidates the central role of metabolic reprogramming in renal fibrosis associated with IgG4-related disease (IgG4-RD), highlighting key pathways such as mitochondrial dysfunction, enhanced glycolysis, and impaired fatty acid oxidation. The study emphasizes the potential of targeting metabolic nodes for antifibrotic therapy and discusses the promise of metabolomics in precision medicine.