[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117238-en":3,"doc-seo-117238-105":30,"detail-sidebar-cat-0-en-105":83},{"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},117238,2336464648322,"Aria","https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488",8,"Research & Report","Artificial intelligence and machine learning applications for cultured meat - review","Cultured meat offers a complementary meat industry with potentially lower environmental, ethical, and health impacts, yet persistent technical barriers slow progress toward market readiness. Machine learning can accelerate development by streamlining experiments, predicting optimal outcomes, and reducing time and resource use, although its application in cultured meat remains early. This review synthesizes current AI/ML work and outlines future opportunities across key R&D areas including cell line establishment, culture media design, microscopy and image analysis, and bioprocessing/food optimization, plus a survey of relevant datasets.","TYPE Review  \nPUBLISHED 24 September 2024 DOI 10.3389/frai.2024.1424012  \nOPEN ACCESS  \nEDITED BY  \nZeynep Ünal,  \nÖmer Halisdemir University, Türkiye  \nREVIEWED BY  \nYuanfang Ren,  \nUniversity of Florida, United States Mehmet Kayakus,  \nAkdeniz University, Türkiye  \n*CORRESPONDENCE  \nBreanna Duffy  \n [breanna@new-harvest.org](breanna@new-harvest.org)  \n†These authors have contributed equally to this work  \n‡These authors share first authorship  \nRECEIVED 26 April 2024  \nACCEPTED 21 August 2024  \nPUBLISHED 24 September 2024  \nCITATION  \nTodhunter ME, Jubair S, Verma R, Saqe R, Shen K and Duffy B (2024) Artificial intelligence and machine learning applications for cultured meat.  \nFront. Artif. Intell. 7:1424012 .  \ndoi: 10.3389/frai.2024.1424012  \nCOPYRIGHT  \n© 2024 Todhunter, Jubair, Verma, Saqe, Shen and Duffy. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.  \nArtificial intelligence and machine learning applications for cultured meat  \nMichael E. Todhunter 1†‡, Sheikh Jubair 2†‡, Ruchika Verma 2, Rikard Saqe3, Kevin Shen4 and Breanna Duffy 5*†  \n1Todhunter Scientifics, Minneapolis, MN, United States, 2Alberta Machine Intelligence Institute, Edmonton, AB, Canada, 3 Department of Mathematics, University of Waterloo, Waterloo, ON, Canada, 4 Department of Biology, University of Waterloo, Waterloo, ON, Canada, 5 New Harvest, Sacramento, CA, United States  \nCultured meat has the potential to provide a complementary meat industry with reduced environmental, ethical, and health impacts. However, major technological challenges remain which require time-and resource-intensive research and development efforts. Machine learning has the potential to accelerate cultured meat technology by streamlining experiments, predicting optimal results, and reducing experimentation time and resources. However, the use of machine learning in cultured meat is in its infancy. This review covers the work available to date on the use of machine learning in cultured meat and explores future possibilities. We address four major areas of cultured meat research and development: establishing cell lines, cell culture media design, microscopy and image analysis, and bioprocessing and food processing optimization. In addition, we have included a survey of datasets relevant to CM research. This review aims to provide the foundation necessary for both cultured meat and machine learning scientists to identify research opportunities at the intersection between cultured meat and machine learning.  \nKEYWORDS  \nmachine learning, artificial intelligence, cultured meat, cell culture, culture media design, microscopy, bioprocessing, food science  \n1 Introduction  \nFood production generates about a quarter of global greenhouse gas emissions and causes other negative impacts on the environment and human health (Crippa et al., 2021; Steinfeld et al., 2006). Animal products, including meat, seafood, eggs, and dairy contribute more than 56% of food’s emissions, despite providing only 37% of protein and 18% of calorie intake (Poore and Nemecek, 2018). Meat production is a large sector, producing 328 Mt. in 2020 and expected to expand to [374 Mt. by 2023](374 Mt. by 2023), based on estimates from the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization (FAO) of the United Nations (Michele, 2021). In light of projected growth in the global population and income, these estimates projected that meat consumption will increase by 14%. To meet global meat demand and limit global warming to 1.5°C there is a need for major changes in the prod","cbCaieOtmwhOtd5O","https://ap.wps.com/l/cbCaieOtmwhOtd5O","pdf",4803768,1,23,"English","en",105,"# Introduction\n## Cultured meat challenges and the role of machine learning\n## Scope and structure of the review\n# Research areas covered\n## Cell line establishment\n## Culture media design\n## Microscopy and image analysis\n## Bioprocessing and food processing optimization\n# Dataset survey","[{\"question\":\"What additional resources does the review include for researchers?\",\"answer\":\"In addition to synthesizing published work, the review includes a survey of datasets relevant to cultured meat research.\"}]","Artificial intelligence and machine learning applications for cultured meat - review | PDF",1785674613,58,{"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":78,"head_meta":80,"extra_data":82,"updated_unix":28},"artificial-intelligence-and-machine-learning-applications-for-cultured-meat-review","",{"@graph":36,"@context":77},[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/artificial-intelligence-and-machine-learning-applications-for-cultured-meat-review/117238/",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","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71],{"name":72,"@type":73,"acceptedAnswer":74},"What additional resources does the review include for researchers?","Question",{"text":75,"@type":76},"In addition to synthesizing published work, the review includes a survey of datasets relevant to cultured meat research.","Answer","https://schema.org",{"og:url":52,"og:type":79,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":81,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":84},[85,89,93,97,102,107,112,115,120,123,127],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":86,"show_sort_weight":87,"slug":88},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":90,"show_sort_weight":91,"slug":92},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Exam",70,"exam",{"id":98,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},5,"Comic",60,"comic",{"id":103,"doc_module":4,"doc_module_name":46,"category_name":104,"show_sort_weight":105,"slug":106},6,"Technology",50,"technology",{"id":108,"doc_module":4,"doc_module_name":46,"category_name":109,"show_sort_weight":110,"slug":111},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":113,"slug":114},30,"research-report",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},9,"Religion & Spirituality",20,"religion-spirituality",{"id":118,"doc_module":4,"doc_module_name":46,"category_name":121,"show_sort_weight":118,"slug":122},"World Cup","world-cup",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":124,"slug":126},10,"Lifestyle","lifestyle",{"id":128,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":98,"slug":130},19,"General","general"]