Optimizing Bone Scaffold Design Using Response Surface and Artificial Neural Network-Genetic Algorithm Methods with Biocompatibility Evaluation

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dc.contributor.authorNaruebodee Srisang
dc.contributor.authorJatuphat Maikaew
dc.contributor.authorSupreeda Tambunlertchai
dc.contributor.authorOrranat Eiangmee
dc.contributor.authorPatipat Kamdenlek
dc.contributor.authorChawan Manaspon
dc.contributor.authorAliasger K. Salem
dc.contributor.authorKittisak Phetpan
dc.contributor.authorSiriwan Srisang
dc.contributor.authorSiwakon Sokjabok
dc.date.accessioned2026-05-08T19:22:29Z
dc.date.issued2025-1-1
dc.identifier.doi10.2139/ssrn.5340703
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/18575
dc.publisherSSRN Electronic Journal
dc.subjectBone Tissue Engineering Materials
dc.subjectOrthopaedic implants and arthroplasty
dc.subjectTotal Knee Arthroplasty Outcomes
dc.titleOptimizing Bone Scaffold Design Using Response Surface and Artificial Neural Network-Genetic Algorithm Methods with Biocompatibility Evaluation
dc.typePreprint

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