{"id":"https://openalex.org/W7214729008","doi":"https://doi.org/10.1200/cci-25-00328","title":"TrajSurv-mPC: Learning From Prostate-Specific Antigen Trajectories for Interpretable and Generalizable Survival Prediction in Metastatic Prostate Cancer","display_name":"TrajSurv-mPC: Learning From Prostate-Specific Antigen Trajectories for Interpretable and Generalizable Survival Prediction in Metastatic Prostate Cancer","publication_year":2026,"publication_date":"2026-07-01","ids":{"openalex":"https://openalex.org/W7214729008","doi":"https://doi.org/10.1200/cci-25-00328","pmid":"https://pubmed.ncbi.nlm.nih.gov/42809793"},"language":"en","primary_location":{"id":"doi:10.1200/cci-25-00328","doi":"https://doi.org/10.1200/cci-25-00328","is_oa":false,"landing_page_url":"https://doi.org/10.1200/cci-25-00328","pdf_url":null,"source":{"id":"https://openalex.org/S4210181501","display_name":"JCO Clinical Cancer Informatics","issn_l":"2473-4276","issn":["2473-4276"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315671","host_organization_name":"Lippincott Williams & Wilkins","host_organization_lineage":["https://openalex.org/P4310315671","https://openalex.org/P4310318547"],"host_organization_lineage_names":["Lippincott Williams & Wilkins","Wolters Kluwer"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JCO Clinical Cancer Informatics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072634415","display_name":"Sihang Zeng","orcid":"https://orcid.org/0009-0003-2921-829X","observed_orcids":["https://orcid.org/0009-0003-2921-829X","https://orcid.org/0009-0007-4412-8646"]},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"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"]},{"id":"https://openalex.org/I4210156876","display_name":"VA Greater Los Angeles Healthcare System","ror":"https://ror.org/05xcarb80","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210138663","https://openalex.org/I4210156876"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sihang Zeng","raw_affiliation_strings":["Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA","Fred Hutch Cancer Center, Seattle, WA","VA Greater Los Angeles Healthcare System, Los Angeles, CA"],"raw_orcid":"https://orcid.org/0009-0003-2921-829X","affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Fred Hutch Cancer Center, Seattle, WA","institution_ids":["https://openalex.org/I4210089486"]},{"raw_affiliation_string":"VA Greater Los Angeles Healthcare System, Los Angeles, CA","institution_ids":["https://openalex.org/I4210156876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015883299","display_name":"Lukas Owens","orcid":"https://orcid.org/0000-0002-5149-5379","observed_orcids":["https://orcid.org/0000-0002-5149-5379"]},"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":"Lukas Owens","raw_affiliation_strings":["Fred Hutch Cancer Center, Seattle, WA"],"raw_orcid":"https://orcid.org/0000-0002-5149-5379","affiliations":[{"raw_affiliation_string":"Fred Hutch Cancer Center, Seattle, WA","institution_ids":["https://openalex.org/I4210089486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007370340","display_name":"Lucas J. Liu","orcid":"https://orcid.org/0000-0003-2890-9673","observed_orcids":["https://orcid.org/0000-0003-2890-9673"]},"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":"Lucas J. Liu","raw_affiliation_strings":["Fred Hutch Cancer Center, Seattle, WA"],"raw_orcid":"https://orcid.org/0000-0003-2890-9673","affiliations":[{"raw_affiliation_string":"Fred Hutch Cancer Center, Seattle, WA","institution_ids":["https://openalex.org/I4210089486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087481089","display_name":"Sigrid Carlsson","orcid":"https://orcid.org/0000-0003-3553-5710","observed_orcids":["https://orcid.org/0000-0003-3553-5710"]},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sigrid Carlsson","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center, New York, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center, New York, NY","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102991181","display_name":"Jonathan S. Fainberg","orcid":"https://orcid.org/0000-0002-7084-2743","observed_orcids":["https://orcid.org/0000-0002-7084-2743"]},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jonathan S. Fainberg","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center, New York, NY"],"raw_orcid":"https://orcid.org/0000-0002-7084-2743","affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center, New York, NY","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049771578","display_name":"Vincent Paul Laudone","orcid":"https://orcid.org/0000-0001-9263-9415","observed_orcids":["https://orcid.org/0000-0001-9263-9415"]},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent P. Laudone","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center, New York, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center, New York, NY","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056239809","display_name":"Martin William Schoen","orcid":"https://orcid.org/0000-0001-6388-5553","observed_orcids":["https://orcid.org/0000-0001-6388-5553"]},"institutions":[{"id":"https://openalex.org/I4210104016","display_name":"St. Louis VA Medical Center","ror":"https://ror.org/014c68a74","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210104016","https://openalex.org/I4210150881","https://openalex.org/I4210165236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martin W. Schoen","raw_affiliation_strings":["Saint Louis Veterans Affairs Medical Center, Saint Louis, MO"],"raw_orcid":"https://orcid.org/0000-0001-6388-5553","affiliations":[{"raw_affiliation_string":"Saint Louis Veterans Affairs Medical Center, Saint Louis, MO","institution_ids":["https://openalex.org/I4210104016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088631005","display_name":"Isla P. Garraway","orcid":"https://orcid.org/0000-0002-1129-4636","observed_orcids":["https://orcid.org/0000-0002-1129-4636"]},"institutions":[{"id":"https://openalex.org/I4210156876","display_name":"VA Greater Los Angeles Healthcare System","ror":"https://ror.org/05xcarb80","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695","https://openalex.org/I4210138663","https://openalex.org/I4210156876"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isla P. Garraway","raw_affiliation_strings":["VA Greater Los Angeles Healthcare System, Los Angeles, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VA Greater Los Angeles Healthcare System, Los Angeles, CA","institution_ids":["https://openalex.org/I4210156876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064344218","display_name":"Ruth Etzioni","orcid":"https://orcid.org/0000-0002-9164-6370","observed_orcids":["https://orcid.org/0000-0002-9164-6370"]},"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":"Ruth Etzioni","raw_affiliation_strings":["Fred Hutch Cancer Center, Seattle, WA"],"raw_orcid":"https://orcid.org/0000-0002-9164-6370","affiliations":[{"raw_affiliation_string":"Fred Hutch Cancer Center, Seattle, WA","institution_ids":["https://openalex.org/I4210089486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72042121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"3","first_page":"e2500328","last_page":"e2500328"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.5454000234603882,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.5454000234603882,"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/T10543","display_name":"Prostate Cancer Treatment and Research","score":0.3086000084877014,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.04859999939799309,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/metastatic-prostate-cancer","display_name":"metastatic prostate cancer","score":0.9990000128746033},{"id":"https://openalex.org/keywords/overall-survival-prediction","display_name":"overall survival prediction","score":0.8889999985694885},{"id":"https://openalex.org/keywords/longitudinal-biomarker-dynamics","display_name":"longitudinal biomarker dynamics","score":0.5759999752044678},{"id":"https://openalex.org/keywords/external-validation","display_name":"external validation","score":0.5460000038146973},{"id":"https://openalex.org/keywords/treatment-response-trajectories","display_name":"treatment response trajectories","score":0.593999981880188},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.3059999942779541},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.5960000157356262}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.805899977684021},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.7167999744415283},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.7106999754905701},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6758999824523926},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.5257999897003174},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.45170000195503235},{"id":"https://openalex.org/C2781406297","wikidata":"https://www.wikidata.org/wiki/Q409450","display_name":"Prostate-specific antigen","level":4,"score":0.41909998655319214},{"id":"https://openalex.org/C3019894029","wikidata":"https://www.wikidata.org/wiki/Q332823","display_name":"Overall survival","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3668999969959259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36230000853538513},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33739998936653137},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.3352000117301941},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C2775969662","wikidata":"https://www.wikidata.org/wiki/Q7923600","display_name":"Veterans Affairs","level":2,"score":0.3084000051021576},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.29429998993873596},{"id":"https://openalex.org/C2780739268","wikidata":"https://www.wikidata.org/wiki/Q2112244","display_name":"Progression-free survival","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C2779466056","wikidata":"https://www.wikidata.org/wiki/Q107630651","display_name":"Time point","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C67761136","wikidata":"https://www.wikidata.org/wiki/Q2105849","display_name":"Post-hoc analysis","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.2563999891281128}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000098412","descriptor_name":"Predictive Learning Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009362","descriptor_name":"Neoplasm Metastasis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D017430","descriptor_name":"Prostate-Specific Antigen","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1200/cci-25-00328","doi":"https://doi.org/10.1200/cci-25-00328","is_oa":false,"landing_page_url":"https://doi.org/10.1200/cci-25-00328","pdf_url":null,"source":{"id":"https://openalex.org/S4210181501","display_name":"JCO Clinical Cancer Informatics","issn_l":"2473-4276","issn":["2473-4276"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-c","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-20","russia-white-list-1"],"host_organization":"https://openalex.org/P4310315671","host_organization_name":"Lippincott Williams & Wilkins","host_organization_lineage":["https://openalex.org/P4310315671","https://openalex.org/P4310318547"],"host_organization_lineage_names":["Lippincott Williams & Wilkins","Wolters Kluwer"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"JCO Clinical Cancer Informatics","raw_type":"journal-article"},{"id":"pmid:42809793","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42809793","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":"JCO clinical cancer informatics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9476000070571899}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W2064675550","https://openalex.org/W2130669171","https://openalex.org/W2159771669","https://openalex.org/W2167869791","https://openalex.org/W2168363744","https://openalex.org/W2235405584","https://openalex.org/W2273585495","https://openalex.org/W2563153623","https://openalex.org/W2753919178","https://openalex.org/W2790359800","https://openalex.org/W2905322176","https://openalex.org/W2943876854","https://openalex.org/W3012827461","https://openalex.org/W3087892978","https://openalex.org/W3141797743","https://openalex.org/W3147894994","https://openalex.org/W3191534679","https://openalex.org/W3194730353","https://openalex.org/W3202434089","https://openalex.org/W4282942659","https://openalex.org/W4377694938","https://openalex.org/W4382537003","https://openalex.org/W4388979610","https://openalex.org/W4392186577","https://openalex.org/W4403186779","https://openalex.org/W4406863102","https://openalex.org/W4407701193","https://openalex.org/W4410596899","https://openalex.org/W7133192734"],"related_works":["https://openalex.org/W4399394848","https://openalex.org/W7155384390","https://openalex.org/W4366270247","https://openalex.org/W7160606435","https://openalex.org/W4391303632","https://openalex.org/W4399118509","https://openalex.org/W4412411984","https://openalex.org/W7204758102","https://openalex.org/W7214552300","https://openalex.org/W7211959021"],"abstract_inverted_index":{"Purpose":[0],"Conventional":[1],"prognostic":[2,200,237],"models":[3,96,119,158],"for":[4],"metastatic":[5],"prostate":[6],"cancer":[7],"(mPC)":[8],"typically":[9],"rely":[10],"on":[11,130,136,267],"summary":[12,121],"features":[13],"like":[14],"prostate-specific":[15],"antigen":[16],"(PSA)":[17],"doubling":[18],"time,":[19],"often":[20],"obscuring":[21],"informative":[22],"longitudinal":[23,101],"dynamics.":[24],"We":[25],"developed":[26,54],"TrajSurv-mPC,":[27],"a":[28,131,147,151],"flexible":[29],"deep":[30],"learning":[31],"framework":[32,52,166,235,262],"that":[33,212],"analyzes":[34],"full":[35],"premetastasis":[36,230],"patient":[37],"trajectories\u2014including":[38],"serial":[39],"PSA":[40,102,231],"and":[41,55,68,92,103,150,172,178,184,208],"treatments\u2014to":[42],"improve":[43],"postmetastasis":[44],"overall":[45],"survival":[46],"(OS)":[47],"prediction.":[48],"Methods":[49],"The":[50,95],"TrajSurv-mPC":[51,165,234],"was":[53,84,116,124,139],"evaluated":[56],"using":[57,120],"two":[58],"independent":[59],"cohorts:":[60],"Memorial":[61],"Sloan":[62],"Kettering":[63],"(MSK;":[64],"n":[65,72],"=":[66,73,182,188],"403)":[67],"Veterans":[69],"Affairs":[70],"(VA;":[71],"9,984).":[74],"To":[75],"demonstrate":[76],"its":[77],"architectural":[78],"robustness,":[79],"the":[80,110,164,228,233,250],"framework's":[81],"sequential":[82,247],"modeling":[83,227],"implemented":[85],"with":[86,156,263],"both":[87,195],"Long":[88],"Short-Term":[89],"Memory":[90],"(LSTM)":[91],"Transformer":[93],"backbones.":[94],"used":[97],"baseline":[98],"characteristics":[99],"alongside":[100],"treatment":[104,222],"data":[105],"to":[106],"predict":[107],"OS":[108],"from":[109],"time":[111],"of":[112,169,254,274],"metastasis":[113],"detection.":[114],"Performance":[115],"compared":[117],"against":[118],"features.":[122],"Generalizability":[123],"assessed":[125],"via":[126],"external":[127,192],"validation":[128],"(training":[129],"harmonized":[132],"VA":[133],"subcohort;":[134],"testing":[135],"MSK).":[137],"Interpretability":[138],"explored":[140],"through":[141],"post":[142],"hoc":[143],"hidden":[144],"state":[145],"clustering,":[146],"simulation":[148,207],"study,":[149],"case":[152,209],"study.":[153],"Results":[154],"Compared":[155],"summary-feature":[157],"(C-indices:":[159],"0.650-0.677":[160],"internally;":[161],"0.635-0.651":[162],"externally),":[163],"achieved":[167],"C-indices":[168],"0.723-0.747":[170],"(MSK)":[171],"0.711-0.754":[173],"(VA)":[174],"in":[175,190,216,240,257],"internal":[176],"validations,":[177],"0.693":[179],"(LSTM,":[180],"P":[181,187,203],".02)":[183],"0.708":[185],"(Transformer,":[186],".008)":[189],"cross-cohort":[191],"validations":[193],"across":[194,220,245],"architectures.":[196],"Clustering":[197],"stratified":[198],"distinct":[199,258],"groups":[201],"(":[202],"<":[204],".001).":[205],"Furthermore,":[206],"studies":[210],"showed":[211],"predicted":[213],"risk":[214,238],"varied":[215],"clinically":[217],"plausible":[218],"directions":[219],"different":[221,246],"response":[223],"trajectories.":[224],"Conclusion":[225],"By":[226],"complete":[229],"trajectory,":[232],"improves":[236],"prediction":[239],"mPC.":[241],"Its":[242],"robust":[243],"performance":[244],"backbones":[248],"demonstrates":[249],"generalizable":[251],"added":[252],"value":[253],"dynamic":[255],"patterns":[256],"populations.":[259],"Combining":[260],"this":[261],"complementary":[264],"measures":[265],"based":[266],"imaging":[268],"or":[269],"genomics":[270],"may":[271],"enhance":[272],"personalization":[273],"mPC":[275],"management.":[276]},"counts_by_year":[],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2026-09-30T00:00:00"}
