{"id":"https://openalex.org/W7172024938","doi":"https://doi.org/10.18609/cgti.2026.080","title":"What CGT can learn from biologics: high\u2011value AI use cases for manufacturing","display_name":"What CGT can learn from biologics: high\u2011value AI use cases for manufacturing","publication_year":2026,"publication_date":"2026-07-30","ids":{"openalex":"https://openalex.org/W7172024938","doi":"https://doi.org/10.18609/cgti.2026.080"},"language":"en","primary_location":{"id":"doi:10.18609/cgti.2026.080","doi":"https://doi.org/10.18609/cgti.2026.080","is_oa":true,"landing_page_url":"https://doi.org/10.18609/cgti.2026.080","pdf_url":null,"source":{"id":"https://openalex.org/S4210198480","display_name":"Cell and Gene Therapy Insights","issn_l":"2059-7800","issn":["2059-7800","2397-0545"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cell and Gene Therapy Insights","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.18609/cgti.2026.080","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032201636","display_name":"Shyam Panjwani","orcid":"https://orcid.org/0000-0001-7611-8425","observed_orcids":["https://orcid.org/0000-0001-7611-8425"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shyam Panjwani","raw_affiliation_strings":["Bayer, Berkeley, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bayer, Berkeley, California, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5032201636"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.5355221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"6","first_page":"675\u2013678","last_page":"675\u2013678"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.10350000113248825,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.10350000113248825,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.09399999678134918,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.08919999748468399,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cell-and-gene-therapy-manufacturing","display_name":"cell and gene therapy manufacturing","score":0.996999979019165},{"id":"https://openalex.org/keywords/artificial-intelligence-in-manufacturing","display_name":"artificial intelligence in manufacturing","score":0.8130000233650208},{"id":"https://openalex.org/keywords/biologics-production","display_name":"biologics production","score":0.7620000243186951},{"id":"https://openalex.org/keywords/process-analytical-technology","display_name":"process analytical technology","score":0.9670000076293945},{"id":"https://openalex.org/keywords/metadata","display_name":"metadata","score":0.5329999923706055},{"id":"https://openalex.org/keywords/generative-ai","display_name":"generative AI","score":0.972000002861023},{"id":"https://openalex.org/keywords/scalability","display_name":"scalability","score":0.47699999809265137},{"id":"https://openalex.org/keywords/digital-infrastructure","display_name":"digital infrastructure","score":0.7179999947547913}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5885999798774719},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5257999897003174},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.476500004529953},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4223000109195709},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4169999957084656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40389999747276306},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.39079999923706055},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37459999322891235},{"id":"https://openalex.org/C2987875673","wikidata":"https://www.wikidata.org/wiki/Q187939","display_name":"Manufacturing process","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.3668000102043152},{"id":"https://openalex.org/C175700187","wikidata":"https://www.wikidata.org/wiki/Q187939","display_name":"Manufacturing","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C2780841897","wikidata":"https://www.wikidata.org/wiki/Q25349015","display_name":"Digital manufacturing","level":2,"score":0.34130001068115234},{"id":"https://openalex.org/C2781047461","wikidata":"https://www.wikidata.org/wiki/Q679692","display_name":"Biopharmaceutical","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C77854861","wikidata":"https://www.wikidata.org/wiki/Q4686346","display_name":"Advanced manufacturing","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.3034999966621399},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C2988460067","wikidata":"https://www.wikidata.org/wiki/Q55639","display_name":"Manufacturing sector","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.26899999380111694},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.26440000534057617},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.26089999079704285},{"id":"https://openalex.org/C2780443747","wikidata":"https://www.wikidata.org/wiki/Q3516922","display_name":"Group technology","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18609/cgti.2026.080","doi":"https://doi.org/10.18609/cgti.2026.080","is_oa":true,"landing_page_url":"https://doi.org/10.18609/cgti.2026.080","pdf_url":null,"source":{"id":"https://openalex.org/S4210198480","display_name":"Cell and Gene Therapy Insights","issn_l":"2059-7800","issn":["2059-7800","2397-0545"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cell and Gene Therapy Insights","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.18609/cgti.2026.080","doi":"https://doi.org/10.18609/cgti.2026.080","is_oa":true,"landing_page_url":"https://doi.org/10.18609/cgti.2026.080","pdf_url":null,"source":{"id":"https://openalex.org/S4210198480","display_name":"Cell and Gene Therapy Insights","issn_l":"2059-7800","issn":["2059-7800","2397-0545"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cell and Gene Therapy Insights","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7207000255584717,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"sustainable_development_goals_aurora":[{"score":0.6736032366752625,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Cell":[0],"and":[1,9,26,42,64],"gene":[2],"therapy":[3],"manufacturing":[4],"continues":[5],"to":[6,52],"face":[7],"efficiency":[8],"scalability":[10],"challenges,":[11],"yet":[12],"the":[13,19],"sector":[14],"can":[15],"draw":[16],"directly":[17],"on":[18,70],"biopharmaceutical":[20],"industry\u2019s":[21],"established":[22],"experience":[23],"applying":[24],"AI":[25],"machine":[27],"learning":[28],"across":[29],"biologics":[30],"production,":[31],"spanning":[32],"digital":[33,40],"infrastructure,":[34],"process":[35],"analytical":[36],"technology":[37],"(PAT),":[38],"cloud-based":[39,65],"applications,":[41],"generative":[43],"AI.":[44],"This":[45],"article":[46],"examines":[47],"how":[48],"those":[49],"lessons":[50],"translate":[51],"CGT,":[53],"arguing":[54],"that":[55],"manufacturers":[56],"should":[57],"prioritize":[58],"electronic":[59],"batch":[60],"records,":[61],"contextualized":[62],"metadata,":[63],"data":[66],"pipelines":[67],"before":[68],"layering":[69],"advanced":[71],"AI,":[72],"while":[73],"planning":[74],"early":[75],"for":[76],"GMP":[77],"validation":[78],"of":[79],"AI-driven":[80],"tools.":[81]},"counts_by_year":[],"updated_date":"2026-09-09T07:26:56.047234","created_date":"2026-08-01T00:00:00"}
