[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-120076-en":3,"doc-seo-120076-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},120076,2336464648322,"Aria","https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488",8,"Research & Report","Machine learning applications in forensic DNA profiling - A critical review","Machine learning (ML) provides predictive models through intelligent analysis of large, often unstructured data and has expanded across daily technologies. In forensic DNA profiling, manual interpretation of complex information can be laborious, slow, and susceptible to error. This review evaluates how recent ML-based approaches may streamline DNA analysis while preserving the accuracy and reproducibility demanded by forensic workflows. It also addresses gaps in forensic awareness of ML capabilities and limitations.","San Jose State University  \nSJSU ScholarWorks  \nFaculty Research, Scholarly, and Creative Activity  \n3-1-2024  \nMachine learning applications in forensic DNA profiling: A critical review  \nMark Barash  \nSan Jose State University, [mark.barash@sjsu.edu](mark.barash@sjsu.edu)  \nDennis McNevin  \nUniversity of Technology Sydney Centre for Forensic Science Vladimir Fedorenko  \nSaratov State University  \nPavel Giverts Israel Police  \nFollow this and additional works at: [https://scholarworks.sjsu.edu/faculty_rsca](https://scholarworks.sjsu.edu/faculty_rsca)  \nRecommended Citation  \nMark Barash, Dennis McNevin, Vladimir Fedorenko, and Pavel Giverts. \"Machine learning applications in forensic DNA profiling: A critical review\" Forensic Science International: Genetics (2024) . [https://doi.org/](https://doi.org/)[ ](https://doi.org/)[10.1016/j.fsigen.2023.102994](10.1016/j.fsigen.2023.102994)  \nThis Article is brought to you for free and open access by SJSU ScholarWorks. It has been accepted for inclusion in Faculty Research, Scholarly, and Creative Activity by an authorized administrator of SJSU ScholarWorks. For more information, please contact [scholarworks@sjsu.edu](scholarworks@sjsu.edu).  \nForensic Science International: Genetics 69 (2024) 102994  \nContents lists available at ScienceDirect  \nForensic Science International: Genetics  \njournal [homepage: www.elsevier.com/locate/fsigen](homepage: www.elsevier.com/locate/fsigen)  \n| Machine learning applications in forensic DNA profiling: A critical review Mark Barasha, b, *, 1, Dennis McNevin b, 2, Vladimir Fedorenkoc, 3, Pavel Givertsd, 4\u003Cbr>a Department of Justice Studies, San Jos´e State University, San Jose, CA, United States\u003Cbr>b Centre for Forensic Science, School of Mathematical and Physical Sciences, Faculty of Science, University of Technology Sydney, Broadway, Ultimo, NSW 2007, Australia\u003Cbr>c The Educational and Scientific Laboratory of Forensic Materials Engineering of the Saratov State University, Russia d Division of Identification and Forensic Science, Israel Police HQ, Haim Bar-Lev Road, Jerusalem, Israel |  |  |  |\n| --- | --- | --- | --- |\n| A R T I C L E I N F O |  | A B S T R A C T |  |\n| Keywords:\u003Cbr>Machine learning Forensic DNA profiling Human identification AI\u003Cbr>STRs |  | Machine learning (ML) is a range of powerful computational algorithms capable of generating predictive models via intelligent autonomous analysis of relatively large and often unstructured data. ML has become an integral part of our daily lives with a plethora of applications, including web, business, automotive industry, clinical diagnostics, scientific research, and more recently, forensic science. In the field of forensic DNA, the manual analysis of complex data can be challenging, time-consuming, and error-prone. The integration of novel MLbased methods may aid in streamlining this process while maintaining the high accuracy and reproducibility required for forensic tools. Due to the relative novelty of such applications, the forensic community is largely unaware of ML capabilities and limitations. Furthermore, computer science and ML professionals are often unfamiliar with the forensic science field and its specific requirements. This manuscript offers a brief introduction to the capabilities of machine learning methods and their applications in the context of forensic DNA analysis and offers a critical review of the current literature in this rapidly developing field. |  |\n\n1. Introduction  \nForensic DNA profiling is the backbone of forensic science and one of the most rigorous forensic disciplines. In the last four decades, this field has made significant progress and cemented its ’gold standard’ reputation by incorporating extremely sensitive, accurate, robust and extensively validated methods of human identification [1,2]. In a similar fashion, machine learning (ML) is the fastest-growing field of computer science that offers extremely powerful capabilities for intelligent data  \nana","cbCaif2KvC2xtUFv","https://ap.wps.com/l/cbCaif2KvC2xtUFv","pdf",4574800,1,16,"English","en",105,"# Introduction\n## Forensic DNA profiling and its validation demands\n## Machine learning capabilities and growth\n## Context: human identification and data-driven tools\n## Scope, objectives, and structure of the review","[{\"question\":\"为什么机器学习适用于法医DNA分型？\",\"answer\":\"法医DNA分型涉及对复杂数据的解读，人工分析可能耗时且易出错。ML能够对大规模、非结构化数据进行智能建模，用于提升流程效率并保持所需的准确性与可重复性。\"},{\"question\":\"法医领域对机器学习存在哪些认知不足？\",\"answer\":\"由于相关应用相对较新，法医界整体对ML的能力与局限了解不足。同时，计算机与ML专业人员也往往不熟悉法科学的具体需求。\"},{\"question\":\"该综述文章主要做了哪些工作？\",\"answer\":\"文章先简要介绍机器学习方法的能力，再聚焦其在法医DNA分析中的应用，并对该快速发展的领域现有文献进行批判性回顾。\"}]","Machine learning applications in forensic DNA profiling - A critical review | PDF",1785728017,40,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"machine-learning-applications-in-forensic-dna-profiling-a-critical-review","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/machine-learning-applications-in-forensic-dna-profiling-a-critical-review/120076/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-03",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"为什么机器学习适用于法医DNA分型？","Question",{"text":75,"@type":76},"法医DNA分型涉及对复杂数据的解读，人工分析可能耗时且易出错。ML能够对大规模、非结构化数据进行智能建模，用于提升流程效率并保持所需的准确性与可重复性。","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"法医领域对机器学习存在哪些认知不足？",{"text":80,"@type":76},"由于相关应用相对较新，法医界整体对ML的能力与局限了解不足。同时，计算机与ML专业人员也往往不熟悉法科学的具体需求。",{"name":82,"@type":73,"acceptedAnswer":83},"该综述文章主要做了哪些工作？",{"text":84,"@type":76},"文章先简要介绍机器学习方法的能力，再聚焦其在法医DNA分析中的应用，并对该快速发展的领域现有文献进行批判性回顾。","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":29,"slug":118},7,"Healthcare","healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]