An international team led by SciLifeLab and KTH published a large proteomic survey profiling blood from more than 9,000 individuals spanning 59 diseases using high‑throughput Olink assays. The dataset identified core stable protein signatures within individuals and disease‑specific proteomic patterns that could help distinguish generalized inflammatory signals from disease‑specific biomarkers. The open resource, described in Science, promises to sharpen biomarker discovery by enabling cross‑disease comparisons and longitudinal monitoring. Authors emphasized that a pan‑disease approach reduces false leads driven by non‑specific inflammation and supports efforts to prioritize candidate markers with genuine diagnostic specificity.