{"id":22540,"date":"2026-09-11T18:48:34","date_gmt":"2026-09-11T18:48:34","guid":{"rendered":"https:\/\/comed.uoninevah.edu.iq\/?p=22540"},"modified":"2026-09-11T18:49:52","modified_gmt":"2026-09-11T18:49:52","slug":"%d8%a7%d9%84%d8%b0%d9%83%d8%a7%d8%a1-%d8%a7%d9%84%d8%a7%d8%b5%d8%b7%d9%86%d8%a7%d8%b9%d9%8a-%d9%8a%d9%82%d8%b1%d8%a3-%d9%85%d9%84%d8%a7%d9%85%d8%ad-%d8%a7%d9%84%d9%88%d8%ac%d9%87-%d9%84%d9%84%d9%83","status":"publish","type":"post","link":"https:\/\/comed.uoninevah.edu.iq\/en\/%d8%a7%d9%84%d8%b0%d9%83%d8%a7%d8%a1-%d8%a7%d9%84%d8%a7%d8%b5%d8%b7%d9%86%d8%a7%d8%b9%d9%8a-%d9%8a%d9%82%d8%b1%d8%a3-%d9%85%d9%84%d8%a7%d9%85%d8%ad-%d8%a7%d9%84%d9%88%d8%ac%d9%87-%d9%84%d9%84%d9%83\/","title":{"rendered":"Artificial Intelligence Reads Facial Features to Detect Genetic Disorders\u2026 A Faculty Member at the Nineveh College of Medicine Co-Supervises and Participates in the Defense of a Master\u2019s Thesis at the University of Nineveh"},"content":{"rendered":"

<\/p>\n\n\n\n

Assistant Professor Dr. Ali Adel Sharif, a faculty member at the College of Medicine\u2014University of Nineveh, participated as an advisor and a member of the thesis defense committee for a master\u2019s thesis at the College of Electronics Engineering\u2014University of Nineveh, for the researcher Zafar Darrar Saeed Al-Jawadi, as part of scientific cooperation and the promotion of interdisciplinary studies among the university\u2019s faculties.\nThe thesis was titled:\nAI-Based Approaches for Genetic Disorder Diagnosis Based on Facial Phenotype\n\u201cAI-Based Approaches for the Diagnosis of Genetic Disorders Based on Facial Phenotype\u201d\nThe study addressed the development of an automated framework based on artificial intelligence techniques and the analysis of facial morphological characteristics, with the aim of supporting the early detection and classification of genetic disorders based on geometric measurements extracted from frontal facial images.\nThe joint supervision by Assistant Professor Dr. Ali Adel Sharif and Assistant Professor Dr. Muhammad Abdul-Muttalib Muhammad from the College of Electronics Engineering exemplified the integration of medical expertise, engineering technologies, and artificial intelligence in addressing contemporary research topics with medical applications.\nThis collaboration is part of the Faculty of Medicine at the University of Nineveh\u2019s initiative to support interdisciplinary research and strengthen scientific cooperation among the university\u2019s faculties, particularly in fields that utilize artificial intelligence to advance diagnosis and medical science.<\/p>\n\n\n\n

\"\"<\/figure>","protected":false},"excerpt":{"rendered":"

Assistant Professor Dr. Ali Adel Sharif, a faculty member at the College of Medicine\u2014University of Nineveh, participated as an advisor and a member of the thesis defense committee for a master\u2019s thesis at the College of Electronics Engineering\u2014University of Nineveh, for the researcher Zafar Darrar Saeed Al-Jawadi, as part of scientific cooperation and the promotion of interdisciplinary studies among the university\u2019s faculties.\nThe thesis was titled:\nAI-Based Approaches for Genetic Disorder Diagnosis Based on Facial Phenotype\n\u201cAI-Based Approaches for the Diagnosis of Genetic Disorders Based on Facial Phenotype\u201d\nThe study addressed the development of an automated framework based on artificial intelligence techniques and the analysis of facial morphological characteristics, with the aim of supporting the early detection and classification of genetic disorders based on geometric measurements extracted from frontal facial images.\nThe joint supervision by Assistant Professor Dr. Ali Adel Sharif and Assistant Professor Dr. Muhammad Abdul-Muttalib Muhammad from the College of Electronics Engineering exemplified the integration of medical expertise, engineering technologies, and artificial intelligence in addressing contemporary research topics with medical applications.\nThis collaboration is part of the Faculty of Medicine at the University of Nineveh\u2019s initiative to support interdisciplinary research and strengthen scientific cooperation among the university\u2019s faculties, particularly in fields that utilize artificial intelligence to advance diagnosis and medical science.<\/p>","protected":false},"author":3,"featured_media":22541,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-22540","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/posts\/22540","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/comments?post=22540"}],"version-history":[{"count":1,"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/posts\/22540\/revisions"}],"predecessor-version":[{"id":22546,"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/posts\/22540\/revisions\/22546"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/media\/22541"}],"wp:attachment":[{"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/media?parent=22540"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/categories?post=22540"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/comed.uoninevah.edu.iq\/en\/wp-json\/wp\/v2\/tags?post=22540"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}