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With an increase in the elderly population, a high\u2010risk group for bone\u2010related diseases such as osteoporosis, it is essential to develop a precise bone\u2010mimicking model for efficient drug screening and accurate evaluation in preclinical studies. Here, we developed a high\u2010throughput biomimetic bone\u2010on\u2010a\u2010chip platform combined with an artificial intelligence (AI)\u2010based image analysis system. To recapitulate the key aspects of natural bone microenvironment, mouse osteocytes (IDG\u2010SW3) and osteoblasts (MC3T3\u2010E1) were cocultured within the osteoblast\u2010derived decellularized extracellular matrix (OB\u2010dECM) built in a well plate\u2010based three\u2010dimensional gel unit. This platform spatiotemporally and configurationally mimics the characteristics of the structural bone unit, known as the osteon. Combinations of native and bioactive ingredients obtained from the OB\u2010dECM and coculture of two types of bone cells synergistically enhanced osteogenic functions such as osteocyte differentiation and osteoblast maturation. This platform provides a uniform and transparent imaging window that facilitates the observation of cell\u2013cell interactions and features high\u2010throughput bone units in a well plate that is compatible with a high\u2010content screening system, enabling fast and easy drug tests. The drug efficacy of anti\u2010SOST antibody, which is a newly developed osteoporosis drug for bone formation, was tested via \u03b2\u2010catenin translocation analysis, and the performance of the platform was evaluated using AI\u2010based deep learning analysis. This platform could be a cutting\u2010edge translational tool for bone\u2010related diseases and an efficient alternative to bone models for the development of promising drugs.<\/jats:p>","DOI":"10.1002\/btm2.10313","type":"journal-article","created":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T02:45:13Z","timestamp":1648694713000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":93,"title":["A high\u2010throughput biomimetic bone\u2010on\u2010a\u2010chip platform with artificial intelligence\u2010assisted image analysis for osteoporosis drug testing"],"prefix":"10.1002","volume":"8","author":[{"given":"Kyurim","family":"Paek","sequence":"first","affiliation":[{"name":"Center for Scientific Instrumentation Korea Basic Science Institute  Daejeon South Korea"},{"name":"Program in Micro\/Nano System Korea University  Seoul South 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System Korea University  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seok","family":"Chung","sequence":"additional","affiliation":[{"name":"Program in Micro\/Nano System Korea University  Seoul South Korea"},{"name":"School of Mechanical Engineering Korea University  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tai Hyun","family":"Park","sequence":"additional","affiliation":[{"name":"School of Chemical and Biological Engineering, Institute of Chemical Processes Seoul National University  Seoul South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6278-6545","authenticated-orcid":false,"given":"Jeong Ah","family":"Kim","sequence":"additional","affiliation":[{"name":"Center for Scientific Instrumentation Korea Basic Science Institute  Daejeon South Korea"},{"name":"Department of Bio\u2010Analytical Science University of Science and Technology  Daejeon South 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