An international consortium led by KTH SciLifeLab and collaborators published a pan‑disease blood proteome that profiles protein changes across 59 diseases using Olink’s high‑throughput panels and samples from over 9,000 individuals. The dataset identifies disease‑specific protein signatures and provides a resource to distinguish general inflammatory markers from condition‑specific biomarkers. The work—published in Science—offers an open‑access proteome that researchers can mine for diagnostic candidates and longitudinal disease monitoring. The study also showed individual proteomic 'fingerprints' remain relatively stable over time, supporting longitudinal proteomics for early detection and disease surveillance.