An international consortium released a pan‑disease plasma proteome atlas profiling blood proteins across 59 diseases and multiple cohorts; the work appeared in Science. The project measured thousands of proteins in over 8,200 samples using high‑throughput proteomics and produced an open‑access dataset mapping disease‑specific proteomic signals. The authors argue the pan‑disease approach improves biomarker specificity by distinguishing disease‑unique signatures from general inflammatory signals. Separately, a SciLifeLab team used Olink’s Explore HT platform to profile 9,027 samples and contributed large‑scale proteomic data that underpinned much of the atlas’ analytical power.