An international consortium published a pan‑disease proteomic atlas profiling thousands of blood samples to map protein changes across 59 diseases, providing an open resource for biomarker discovery. The Science publication integrates data from multiple cohorts and used Olink’s high‑plex platforms (Explore and Explore HT) to quantify up to 5,416 proteins and identify disease‑specific versus pan‑inflammatory signals. SciLifeLab and KTH researchers also released a related large dataset profiling more than 9,000 samples with Olink, enabling longitudinal and cross‑disease comparisons and highlighting stable individual proteomic fingerprints. Authors — including Mathias Uhlén and collaborators — argue this pan‑disease approach helps separate disease‑specific biomarkers from general inflammation and could accelerate diagnostic translation by prioritizing targets with disease specificity.