Biomarkers, Big Data & Biology: Mapping the Plasma Proteome Across 59 Diseases

🧬 New Era in Blood-Based Biomarkers! 🩸 A pan-disease atlas of the circulating proteome across 59 diseases and 8,262 individuals reveals powerful insights into age, sex, BMI, and disease-specific protein signatures.   💡 Highlights: 🔹 Over 5,400 proteins profiled using Olink 🔹 Longitudinal stability of wellness proteome 🔹 Machine learning predicts biological age (R² = 0.85) 🔹 Shared vs disease-specific profiles across conditions 🔹 Early signals in cancers like lung and ovarian 🎯   📍 Explore the resource: proteinatlas.org/humanproteome/blood 📖 Read the study in Science: https://doi.org/10.1126/science.adx2678   #Proteomics #PrecisionMedicine #Biomarkers #MultiOmics #HumanProteinAtlas #BloodAtlas #EarlyDetection #SystemsBiology #Cardiology #Oncology #MachineLearning 🧠🔍📊