{"id":"https://openalex.org/W3133565243","doi":"https://doi.org/10.3390/cancers14020352","title":"Noncoding RNAs and Deep Learning Neural Network Discriminate Multi-Cancer Types","display_name":"Noncoding RNAs and Deep Learning Neural Network Discriminate Multi-Cancer Types","publication_year":2022,"publication_date":"2022-01-12","ids":{"openalex":"https://openalex.org/W3133565243","doi":"https://doi.org/10.3390/cancers14020352","mag":"3133565243","pmid":"https://pubmed.ncbi.nlm.nih.gov/35053515","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8774129"},"language":"en","primary_location":{"id":"doi:10.3390/cancers14020352","doi":"https://doi.org/10.3390/cancers14020352","is_oa":true,"landing_page_url":"https://doi.org/10.3390/cancers14020352","pdf_url":"https://www.mdpi.com/2072-6694/14/2/352/pdf?version=1642058213","source":{"id":"https://openalex.org/S168415115","display_name":"Cancers","issn_l":"2072-6694","issn":["2072-6694"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cancers","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-6694/14/2/352/pdf?version=1642058213","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027024205","display_name":"Anyou Wang","orcid":"https://orcid.org/0000-0002-4981-3606","observed_orcids":["https://orcid.org/0000-0002-4981-3606"]},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]},{"id":"https://openalex.org/I4405278674","display_name":"Institute for Integrative Genome Biology","ror":"https://ror.org/00cpdm633","country_code":"US","type":"facility","lineage":["https://openalex.org/I103635307","https://openalex.org/I4405278674"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anyou Wang","raw_affiliation_strings":["The Institute for Integrative Genome Biology, University of California at Riverside, Riverside, CA 92521, USA"],"raw_orcid":"https://orcid.org/0000-0002-4981-3606","affiliations":[{"raw_affiliation_string":"The Institute for Integrative Genome Biology, University of California at Riverside, Riverside, CA 92521, USA","institution_ids":["https://openalex.org/I103635307","https://openalex.org/I4405278674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084096966","display_name":"Rong Hai","orcid":"https://orcid.org/0000-0002-0577-4676","observed_orcids":["https://orcid.org/0000-0002-0577-4676"]},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]},{"id":"https://openalex.org/I4405278674","display_name":"Institute for Integrative Genome Biology","ror":"https://ror.org/00cpdm633","country_code":"US","type":"facility","lineage":["https://openalex.org/I103635307","https://openalex.org/I4405278674"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rong Hai","raw_affiliation_strings":["Department of Microbiology and Plant Pathology, University of California at Riverside, Riverside, CA 92521, USA","The Institute for Integrative Genome Biology, University of California at Riverside, Riverside, CA 92521, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Microbiology and Plant Pathology, University of California at Riverside, Riverside, CA 92521, USA","institution_ids":["https://openalex.org/I103635307"]},{"raw_affiliation_string":"The Institute for Integrative Genome Biology, University of California at Riverside, Riverside, CA 92521, USA","institution_ids":["https://openalex.org/I103635307","https://openalex.org/I4405278674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081453257","display_name":"Paul J. F. Rider","orcid":"https://orcid.org/0000-0002-5702-0809","observed_orcids":["https://orcid.org/0000-0002-5702-0809"]},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul J. Rider","raw_affiliation_strings":["Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Skip Bertman Drive, Baton Rouge, LA 70803, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Skip Bertman Drive, Baton Rouge, LA 70803, USA","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029224737","display_name":"Qianchuan He","orcid":"https://orcid.org/0000-0001-7044-6591","observed_orcids":["https://orcid.org/0000-0001-7044-6591"]},"institutions":[{"id":"https://openalex.org/I4210089486","display_name":"Fred Hutch Cancer Center","ror":"https://ror.org/007ps6h72","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210089486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qianchuan He","raw_affiliation_strings":["Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA","institution_ids":["https://openalex.org/I4210089486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5027024205","https://openalex.org/A5084096966"],"corresponding_institution_ids":["https://openalex.org/I103635307","https://openalex.org/I4405278674"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2513},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2513},"fwci":1.2246,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76585194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"14","issue":"2","first_page":"352","last_page":"352"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.4708999991416931,"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/T10885","display_name":"Gene expression and cancer classification","score":0.4708999991416931,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.3684000074863434,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10862","display_name":"AI in cancer detection","score":0.04039999842643738,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.7720000147819519},{"id":"https://openalex.org/keywords/tumor-screening","display_name":"cancer screening","score":0.8629999756813049},{"id":"https://openalex.org/keywords/early-cancer-detection","display_name":"early cancer detection","score":0.7480000257492065},{"id":"https://openalex.org/keywords/blood-based-biomarkers","display_name":"blood-based biomarkers","score":0.6919999718666077},{"id":"https://openalex.org/keywords/biomarker-panel","display_name":"biomarker panel","score":0.5640000104904175}],"concepts":[{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6925491690635681},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6321768164634705},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.6081812381744385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5966819524765015},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5872407555580139},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5562272667884827},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5201940536499023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5044044256210327},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4972884953022003},{"id":"https://openalex.org/C3020225094","wikidata":"https://www.wikidata.org/wiki/Q80091","display_name":"Area under curve","level":3,"score":0.41696634888648987},{"id":"https://openalex.org/C2777002142","wikidata":"https://www.wikidata.org/wiki/Q5031432","display_name":"Cancer biomarkers","level":3,"score":0.4105623960494995},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3366830348968506},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.21875181794166565},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2185574471950531},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12981629371643066},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09379956126213074},{"id":"https://openalex.org/C112705442","wikidata":"https://www.wikidata.org/wiki/Q323936","display_name":"Pharmacokinetics","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/cancers14020352","doi":"https://doi.org/10.3390/cancers14020352","is_oa":true,"landing_page_url":"https://doi.org/10.3390/cancers14020352","pdf_url":"https://www.mdpi.com/2072-6694/14/2/352/pdf?version=1642058213","source":{"id":"https://openalex.org/S168415115","display_name":"Cancers","issn_l":"2072-6694","issn":["2072-6694"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cancers","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8774129","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8774129","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cancers (Basel)","raw_type":"Text"},{"id":"pmid:35053515","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35053515","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cancers","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2103.01179","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.01179","pdf_url":"https://arxiv.org/pdf/2103.01179","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:fbeec6c9419d4f1cb5d3e5d7597e112a","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/fbeec6c9419d4f1cb5d3e5d7597e112a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Cancers, Vol 14, Iss 352, p 352 (2022)","raw_type":"article"},{"id":"doi:10.48550/arxiv.2103.01179","doi":"https://doi.org/10.48550/arxiv.2103.01179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.01179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.3390/cancers14020352","doi":"https://doi.org/10.3390/cancers14020352","is_oa":true,"landing_page_url":"https://doi.org/10.3390/cancers14020352","pdf_url":"https://www.mdpi.com/2072-6694/14/2/352/pdf?version=1642058213","source":{"id":"https://openalex.org/S168415115","display_name":"Cancers","issn_l":"2072-6694","issn":["2072-6694"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cancers","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9537000060081482,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5563582568","display_name":"Methods for Analyzing Cancer Somatic Mutation Data","funder_award_id":"R01CA223498","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3133565243.pdf","grobid_xml":"https://content.openalex.org/works/W3133565243.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2017777108","https://openalex.org/W2033102369","https://openalex.org/W2035252444","https://openalex.org/W2067082610","https://openalex.org/W2076936489","https://openalex.org/W2112236813","https://openalex.org/W2153457341","https://openalex.org/W2171237493","https://openalex.org/W2329659234","https://openalex.org/W2335029242","https://openalex.org/W2548724516","https://openalex.org/W2751788109","https://openalex.org/W2783674487","https://openalex.org/W2795989238","https://openalex.org/W2810592374","https://openalex.org/W2887989335","https://openalex.org/W2898215009","https://openalex.org/W2898789672","https://openalex.org/W2947989913","https://openalex.org/W2963537251","https://openalex.org/W2977807089","https://openalex.org/W2997782431","https://openalex.org/W3004498009","https://openalex.org/W3008217150","https://openalex.org/W3009785512","https://openalex.org/W3013478297","https://openalex.org/W3013500884","https://openalex.org/W3013924915","https://openalex.org/W3020301997","https://openalex.org/W3023892068","https://openalex.org/W3081573058","https://openalex.org/W3082078093","https://openalex.org/W3106029267","https://openalex.org/W3108775243","https://openalex.org/W3115880421","https://openalex.org/W3119809867","https://openalex.org/W3205594709","https://openalex.org/W4200439253","https://openalex.org/W4226413902","https://openalex.org/W4239944263","https://openalex.org/W6754331879"],"related_works":["https://openalex.org/W7116880392","https://openalex.org/W7163145229","https://openalex.org/W4313427346","https://openalex.org/W4414703569","https://openalex.org/W4306943861","https://openalex.org/W4404395009","https://openalex.org/W4415941773","https://openalex.org/W2519089233","https://openalex.org/W7160042937","https://openalex.org/W4409383210"],"abstract_inverted_index":{"Detecting":[0],"cancers":[1,151,203],"at":[2,14,176],"early":[3],"stages":[4],"can":[5,50,101,128,147,216,231],"dramatically":[6],"reduce":[7],"mortality":[8],"rates.":[9],"Therefore,":[10],"practical":[11,170,185],"cancer":[12,29,53,133,174,186,214,234],"screening":[13,175,187],"the":[15],"population":[16,177],"level":[17],"is":[18,190],"needed.":[19],"To":[20],"develop":[21],"a":[22,67,86,143,153,168,184],"comprehensive":[23,144],"detection":[24,165],"system":[25,49,100,108,166,200,222,230],"to":[26,139,196,225],"classify":[27,202],"multiple":[28,233],"types,":[30],"we":[31],"integrated":[32],"an":[33],"artificial":[34],"intelligence":[35],"deep":[36],"learning":[37,113],"neural":[38],"network":[39],"and":[40,72,162,194],"noncoding":[41],"RNA":[42],"biomarkers":[43],"selected":[44],"from":[45,85,97],"massive":[46],"data.":[47],"Our":[48,199],"accurately":[51],"detect":[52,232],"vs.":[54,135,204],"healthy":[55],"objects":[56],"with":[57,93,120,137,152,206,223,237],"96.3%":[58],"of":[59,61,66,77,104],"AUC":[60,78],"ROC":[62],"(Area":[63],"Under":[64],"Curve":[65],"Receiver":[68],"Operating":[69],"Characteristic":[70],"curve),":[71],"it":[73],"surprisingly":[74],"reaches":[75],"78.77%":[76],"when":[79],"validated":[80],"by":[81,220],"real-world":[82],"raw":[83,94],"data":[84,89,96],"completely":[87],"independent":[88],"set.":[90],"Even":[91],"validating":[92],"exosome":[95],"blood,":[98],"our":[99,107,126,221],"reach":[102],"72%":[103],"AUC.":[105,141,208,227],"Moreover,":[106],"significantly":[109],"outperforms":[110],"conventional":[111],"machine":[112],"models,":[114],"such":[115],"as":[116],"random":[117],"forest.":[118],"Intriguingly,":[119],"no":[121],"more":[122],"than":[123],"six":[124],"biomarkers,":[125],"approach":[127],"easily":[129,218],"discriminate":[130],"any":[131],"individual":[132,213],"type":[134],"normal":[136,205],"99%":[138],"100%":[140,226],"Furthermore,":[142],"marker":[145],"panel":[146],"simultaneously":[148,236],"multi-classify":[149],"common":[150],"stable":[154],"82.15%":[155],"accuracy":[156],"rate":[157],"for":[158,172],"heterogeneous":[159],"cancerous":[160],"tissues":[161],"conditions.":[163],"This":[164],"provides":[167],"promising":[169],"framework":[171],"automatic":[173],"level.":[178],"Key":[179],"points:":[180],"(1)":[181],"We":[182],"developed":[183],"system,":[188],"which":[189],"simple,":[191],"accurate,":[192],"affordable,":[193],"easy":[195],"operate.":[197],"(2)":[198],"binarily":[201],">96%":[207],"(3)":[209],"In":[210],"total,":[211],"26":[212],"types":[215,235],"be":[217],"detected":[219],"99":[224],"(4)":[228],"The":[229],">82%":[238],"accuracy.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2021-03-15T00:00:00"}