Researchers led by KTH/SciLifeLab published a large-scale proteomic dataset profiling 9,027 blood samples across more than 59 diseases using Olink’s Explore platforms. The cohort combined longitudinal wellness samples, pediatric longitudinal data, and expansive disease cohorts to map protein variation over time and across conditions. A companion Science paper from an international consortium framed the work as a pan‑disease proteome atlas meant to distinguish disease‑specific biomarkers from generalized inflammatory signals. Proteomic panels measured thousands of proteins—offering a resource for biomarker discovery, longitudinal monitoring, and comparative analyses across disease states.