An international consortium led by SciLifeLab and KTH published a large-scale proteomic atlas in Science profiling more than 9,000 blood samples across 59 diseases using Olink’s Explore/Explore HT platforms. The dataset—measuring up to 5,416 proteins—defines disease‑specific and pan‑disease protein signatures, identifies stable individual proteomic fingerprints, and highlights trajectories tied to aging and disease. Authors including Mathias Uhlén stress the atlas as a resource to distinguish disease‑specific biomarkers from generalized inflammatory signals and to prioritize translational biomarker candidates.