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However, the optimal porous structure parameter, especially porosity, for the designing of porous implants for TAR remains ambiguous. The objective of the present study is to design porous diamond\u2010structured tibial implant for TAR using macro\u2013micro FE and Machine Learning (ML) based approach to enhance biomechanical and osseointegration performance. Four porous diamond architectures were designed with porosity varying from 50% to 80%. The study entails the macro\u2010microscale FE modelling of four different porous diamond structured tibial implants (PDSTI) to assess the biomechanical performance and to perform bone ingrowth simulations using a physics based progressive mechanoregulatory tissue differentiation algorithm. ML models were used to predict the value of site\u2010specific bone ingrowth, and the average value was compared between these PDSTI. ML models were accurately able to predict the site\u2010specific bone ingrowth for each PDSTI. Bone ingrowth results revealed that the PDSTI at 70% porosity is more conducive to bone formation as well as better load transfer (less stress shielding) to the bone in comparison to a traditional solid implant. The lowest value of bone ingrowth was noted for the PDSTI at 80% porosity, indicating that large porosity is not suitable for bone ingrowth. The findings ultimately contribute to improving the clinical outcomes for TAR by reducing the risk of aseptic loosening.<\/jats:p>","DOI":"10.1002\/cnm.70133","type":"journal-article","created":{"date-parts":[[2025,12,23]],"date-time":"2025-12-23T02:37:46Z","timestamp":1766457466000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Macro\u2013Micro\n                    <scp>FE<\/scp>\n                    and Machine Learning Based Design of Diamond Lattice Tibial Implant to Improve Biomechanical and Osseointegration Performance"],"prefix":"10.1002","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-4272-3314","authenticated-orcid":false,"family":"Minku","sequence":"first","affiliation":[{"name":"Biomechanics Research Laboratory, School of Mechanical &amp; Materials Engineering Indian Institute of Technology Mandi  Kamand, Mandi Himachal Pradesh 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