Organs age at different speeds: a blood test might soon tell which ones
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 03:17 ET (29-Oct-2026 07:17 GMT/UTC)
AI-based “tissue clocks” can estimate the biological age of human organs from histological images, researchers at the CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences and the Ludwig Boltzmann Institute for Network Medicine (LBI-NetMed) at the University of Vienna showed. By analyzing more than 25,000 tissue samples across 40 tissue types, their study reveals that organs age at different rates throughout life and that these changes can even be detected from blood samples. The findings, published in Nature Medicine (DOI: 10.1038/s41591-026-04566-5), provide a new framework for understanding aging and may open new avenues for disease monitoring and early diagnosis.
Blood tests measuring plasma p-tau217 offer a promising, non-invasive alternative for Alzheimer's disease diagnosis. In a multicenter head-to-head evaluation, researchers compared nine commercial p-tau217 assays. While seven assays demonstrated high diagnostic accuracy for detecting amyloid pathology, two showed substantially lower performance. The findings emphasize that these tests are not interchangeable and require tailored calibration for clinical use.
This review synthesizes the global evolution of aquatic ecosystem health research and calls for a paradigm shift from isolated, indicator-based assessment to integrated, watershed-scale governance. Led by Qiuwen Chen from Nanjing Hydraulic Research Institute, the research team argues that aquatic ecosystem health must be understood as a coupled social–ecological and process-based property—linking ecological structure with hydrological and biogeochemical processes, socio-economic drivers, and adaptive governance—rather than as a simple aggregation of water-quality or biological metrics.