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We present BRIDGE-AD, an interpretable network medicine framework that transforms multimodal data into a unified, disease-specific gene representation for AD effector prioritisation. We integrated more than 30 datasets and curated resources spanning omics, functional, genetic and prior disease knowledge layers. BRIDGE-AD outperformed recently published pretrained and modality-specific gene embeddings in recovering AD-associated genes and produced a genome-wide resource of candidate AD effectors. Established and newly prioritised effectors formed 19 functional clusters, revealing a global molecular landscape of AD biology. BRIDGE-AD supported an SPP1-centred cross-compartment hypothesis and nominated SCARB2, a poorly characterised candidate, for functional validation. SCARB2 rewired lysosomal, lipid-handling and autophagic programmes in microglia, whereas disrupted SCARB2 glycosylation in AD implicated altered SCARB2 processing and function. The accompanying website,\n                  <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/explore-bridgead.com\">https:\/\/explore-bridgead.com<\/jats:ext-link>\n                  , enables users to trace the curated evidence and generate mechanistic hypotheses.\n                <\/jats:p>","DOI":"10.64898\/2026.09.14.750802","type":"posted-content","created":{"date-parts":[[2026,9,20]],"date-time":"2026-09-20T17:20:11Z","timestamp":1789924811000},"source":"Crossref","is-referenced-by-count":0,"title":["BRIDGE-AD reveals Alzheimer\u2019s disease effectors through interpretable large-scale omics integration"],"prefix":"10.64898","author":[{"given":"Greta","family":"Baltusyte","sequence":"first","affiliation":[{"name":"Milner Therapeutics Institute, University of Cambridge, Cambridge, UK"},{"name":"Department of Surgery, University of Cambridge, and Cambridge NIHR Biomedical Research Centre, Cambridge, 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