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This delivery platform allows precise prediction of drug release profiles through machine learning analysis based on key fabrication parameters, such as polymer composition, implant dimension, and drug content. Among the tested machine learning algorithms, LightGBM outperforms others in predicting drug release kinetics (R\n                    <jats:sup>2<\/jats:sup>\n                    = 0.9000 \u00b1 0.0058). Besides, this model effectively elucidates the combined roles of various implant parameters in controlling release behavior and provides insights to guide formulation selection to maximize drug release. The optimized PCL\u2010PEG implant, combined with 0.1% w\/v poly (lactic\u2010co\u2010glycolic acid) (PLGA) bio\u2010coating, exhibits sustained antibody release through synergistic diffusion\u2010degradation kinetics. In vitro evaluation demonstrates the PCL\u2010PEG\/FGFb mAb@PLGA implant's ability to effectively inhibit 3D\u2010fibroblast\u2010mediated collagen contraction and fibrotic genes. In vivo studies in a rat GFS model, along with histological analysis, further validate the implant's efficacy to reduce fibrosis markers, highlighting the implant's potential to modulate wound healing and to prevent postoperative fibrosis. Finally, the PCL\u2010PEG\/FGFb mAb@PLGA implant demonstrates no significant toxicity and good biocompatibility both in vitro and in vivo.\n                  <\/jats:p>","DOI":"10.1002\/adhm.202502689","type":"journal-article","created":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T06:36:22Z","timestamp":1769063782000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Precise Control of Drug Release in Machine Learning\u2010Designed Antibody\u2010Eluting Implants for Postoperative Scarring Inhibition in Glaucoma"],"prefix":"10.1002","volume":"15","author":[{"given":"Mengqi","family":"Qin","sequence":"first","affiliation":[{"name":"Faculty of Life Sciences and Medicine King's College London  London UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbing","family":"Jiang","sequence":"additional","affiliation":[{"name":"Faculty of Life Sciences and Medicine King's College London  London 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