{"id":"https://openalex.org/W4317627056","doi":"https://doi.org/10.3389/frai.2022.1059093","title":"Statistical biopsy: An emerging screening approach for early detection of cancers","display_name":"Statistical biopsy: An emerging screening approach for early detection of cancers","publication_year":2023,"publication_date":"2023-01-20","ids":{"openalex":"https://openalex.org/W4317627056","doi":"https://doi.org/10.3389/frai.2022.1059093","pmid":"https://pubmed.ncbi.nlm.nih.gov/36744110"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2022.1059093","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2022.1059093/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/frai.2022.1059093/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063042519","display_name":"Gregory R. Hart","orcid":"https://orcid.org/0000-0003-0576-7430"},"institutions":[{"id":"https://openalex.org/I1303444417","display_name":"Bill & Melinda Gates Foundation","ror":"https://ror.org/0456r8d26","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1303444417"]},{"id":"https://openalex.org/I4210161647","display_name":"Institute for Disease Modeling","ror":"https://ror.org/0532gcg76","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210161647"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory R. Hart","raw_affiliation_strings":["Institute for Disease Modeling, Global Health Division, Bill and Melinda Gates Foundation, United States"],"affiliations":[{"raw_affiliation_string":"Institute for Disease Modeling, Global Health Division, Bill and Melinda Gates Foundation, United States","institution_ids":["https://openalex.org/I1303444417","https://openalex.org/I4210161647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045003267","display_name":"Vanessa Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vanessa Yan","raw_affiliation_strings":["Department of Therapeutic Radiology, Yale University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Therapeutic Radiology, Yale University, United States","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051702141","display_name":"Bradley J. Nartowt","orcid":null},"institutions":[{"id":"https://openalex.org/I2799950915","display_name":"Wright-Patterson Air Force Base","ror":"https://ror.org/0097e1k27","country_code":"US","type":"other","lineage":["https://openalex.org/I1330347796","https://openalex.org/I2799950915","https://openalex.org/I4210089612","https://openalex.org/I4210102105"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bradley J. Nartowt","raw_affiliation_strings":["SMFE, Wright-Patterson Air Force Base, United States"],"affiliations":[{"raw_affiliation_string":"SMFE, Wright-Patterson Air Force Base, United States","institution_ids":["https://openalex.org/I2799950915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090255271","display_name":"David A. Roffman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135154","display_name":"Sun Nuclear (United States)","ror":"https://ror.org/043kws463","country_code":"US","type":"company","lineage":["https://openalex.org/I4210135154"]},{"id":"https://openalex.org/I4210086189","display_name":"Mirion Technologies (United States)","ror":"https://ror.org/00r1rs707","country_code":"US","type":"company","lineage":["https://openalex.org/I4210086189"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David A. Roffman","raw_affiliation_strings":["Research Partners, Sun Nuclear Corporation (Mirion Technologies Inc.), United States"],"affiliations":[{"raw_affiliation_string":"Research Partners, Sun Nuclear Corporation (Mirion Technologies Inc.), United States","institution_ids":["https://openalex.org/I4210135154","https://openalex.org/I4210086189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001236255","display_name":"Gigi F. Stark","orcid":"https://orcid.org/0000-0002-6658-3435"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gigi Stark","raw_affiliation_strings":["Department of Therapeutic Radiology, Yale University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Therapeutic Radiology, Yale University, United States","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011130748","display_name":"Wazir Muhammad","orcid":"https://orcid.org/0000-0002-0240-2930"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wazir Muhammad","raw_affiliation_strings":["Department of Physics, Florida Atlantic University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Physics, Florida Atlantic University, United States","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071461784","display_name":"Jun Deng","orcid":"https://orcid.org/0000-0003-2619-8054"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jun Deng","raw_affiliation_strings":["Department of Therapeutic Radiology, Yale University, United States"],"affiliations":[{"raw_affiliation_string":"Department of Therapeutic Radiology, Yale University, United States","institution_ids":["https://openalex.org/I32971472"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1150,"currency":"USD","value_usd":1150,"provenance":"doaj"},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150,"provenance":"doaj"},"fwci":0.352,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":1,"citation_normalized_percentile":{"value":0.606989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":67,"max":78},"biblio":{"volume":"5","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9963,"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"}},"topics":[{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9963,"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"}},{"id":"https://openalex.org/T11287","display_name":"Cancer Genomics and Diagnostics","score":0.985,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9825,"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"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.61661774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.50027657},{"id":"https://openalex.org/C116567970","wikidata":"https://www.wikidata.org/wiki/Q864217","display_name":"Biobank","level":2,"score":0.4639041},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4391981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43656245},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.42766047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39146662},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.23498371},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.20771715},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.16183934},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10045314}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2022.1059093","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2022.1059093/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895959","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,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36744110","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,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":["National Institutes of Health"],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2022.1059093","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2022.1059093/pdf","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.68,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W1651586605","https://openalex.org/W2048701123","https://openalex.org/W2079841314","https://openalex.org/W2089135124","https://openalex.org/W2111547563","https://openalex.org/W2160653301","https://openalex.org/W2161661776","https://openalex.org/W2560633348","https://openalex.org/W2807032201","https://openalex.org/W2886971736","https://openalex.org/W2895926103","https://openalex.org/W2898275793","https://openalex.org/W2934399013","https://openalex.org/W2938617282","https://openalex.org/W2943347371","https://openalex.org/W2955790111","https://openalex.org/W2969911132","https://openalex.org/W2998618511","https://openalex.org/W3011074767","https://openalex.org/W3109474220","https://openalex.org/W4206841660","https://openalex.org/W4212863985","https://openalex.org/W4247258598","https://openalex.org/W4296886862"],"related_works":["https://openalex.org/W4306674287","https://openalex.org/W4306321456","https://openalex.org/W4286629047","https://openalex.org/W4285260836","https://openalex.org/W4224009465","https://openalex.org/W3170094116","https://openalex.org/W3046775127","https://openalex.org/W2961085424","https://openalex.org/W2899084033","https://openalex.org/W2748952813"],"abstract_inverted_index":{"Despite":[0],"large":[1],"investment":[2],"cancer":[3,105,117,136,168,177,203,245],"continues":[4,45],"to":[5,29,50,76,222,248],"be":[6,30,164,220,233],"a":[7,68,81,90,167,171,212,234],"major":[8],"source":[9],"of":[10,19,35,58,84,141,153,236],"mortality":[11],"and":[12,21,26,32,42,109,198,252],"morbidity":[13],"throughout":[14],"the":[15,110,134,143,150,154,159,185,194,215],"world.":[16],"Traditional":[17],"methods":[18],"detection":[20,246],"diagnosis":[22],"such":[23],"as":[24,125,166],"biopsy":[25,217],"imaging,":[27],"tend":[28],"expensive":[31],"have":[33],"risks":[34,204],"complications.":[36],"As":[37],"data":[38,72,210],"becomes":[39],"more":[40,250,253],"abundant":[41],"machine":[43],"learning":[44],"advancing,":[46],"it":[47,73],"is":[48,74,211],"natural":[49],"ask":[51],"how":[52,239],"they":[53],"can":[54,162,232],"help":[55],"solve":[56],"some":[57],"these":[59],"problems.":[60],"In":[61],"this":[62,88],"paper":[63],"we":[64,94,156,229],"show":[65,157],"that":[66,130,158,190,199],"using":[67],"person's":[69],"personal":[70,208],"health":[71,209],"possible":[75],"predict":[77],"their":[78],"risk":[79,101,113,169],"for":[80,102,114,191,226],"wide":[82],"variety":[83],"cancers.":[85],"We":[86,179],"dub":[87],"process":[89],"\"statistical":[91],"biopsy.\"":[92],"Specifically,":[93],"train":[95],"two":[96],"neural":[97],"networks,":[98],"one":[99],"predicting":[100,112],"16":[103],"different":[104,116,135],"types":[106,118,137],"in":[107,119,238,244],"females":[108],"other":[111],"15":[115],"males.":[120],"The":[121],"networks":[122],"were":[123,131],"trained":[124],"binary":[126,151],"classifiers":[127,155],"identifying":[128],"individuals":[129],"diagnosed":[132],"with":[133],"within":[138],"5":[139],"years":[140],"joining":[142],"PLOC":[144],"trial.":[145],"However,":[146],"rather":[147],"than":[148,255],"use":[149],"output":[152,161],"continuous":[160],"instead":[163],"used":[165,243],"allowing":[170],"holistic":[172],"look":[173],"at":[174,201,205],"an":[175],"individual's":[176],"risks.":[178],"tested":[180],"our":[181],"multi-cancer":[182],"model":[183],"on":[184],"UK":[186],"Biobank":[187],"dataset":[188],"showing":[189],"most":[192],"cancers":[193],"predictions":[195],"generalized":[196],"well":[197],"looking":[200],"multiple":[202],"once":[206],"from":[207],"possibility.":[213],"While":[214],"statistical":[216,240],"will":[218],"not":[219],"able":[221],"replace":[223],"traditional":[224],"biopsies":[225],"diagnosing":[227],"cancers,":[228],"hope":[230],"there":[231],"shift":[235],"paradigm":[237],"models":[241],"are":[242],"moving":[247],"something":[249],"powerful":[251],"personalized":[254],"general":[256],"population":[257],"screening":[258],"guidelines.":[259]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4317627056","counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-01-03T06:14:14.801350","created_date":"2023-01-21"}