Non‐Invasive Blood‐Based Early Alzheimer’s Detection Using Sex‐Specific Brain‐Blood Graph Reinforcement Learning

My study connects brain-blood through sex-specific gene graph networks, improving the blood markers precision by grounding it in neural pathology and avoiding noise from whole-body blood circulation. Using NeuroPlasmaNet, an AI system incorporating cell type/layer stratification and biologically guided reinforcement learning, I identified NeuroPlasma12 gene panel in blood transcriptomics, validating my hypothesis that blood markers can detect early AD signals and support preventive brain health to serve the 75% overlooked population.