首页|Sichuan University Reports Findings in Machine Learning (Inverse design of skull osteoinductive implants with multi-level pore structures through machine learni ng)
Sichuan University Reports Findings in Machine Learning (Inverse design of skull osteoinductive implants with multi-level pore structures through machine learni ng)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Chengdu, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “How to accu rately design a personalized matching implant that can induce skull regeneration is the focus of current research. However, the design space for the porous stru cture of implants is extensive, and the mapping relationships between these stru ctures and their mechanical and osteogenic properties are complex.” Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China.
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning