{"id":"https://openalex.org/W2291486788","doi":"https://doi.org/10.1109/cdc.2016.7799040","title":"Personalized cancer therapy design: Robustness vs. optimality","display_name":"Personalized cancer therapy design: Robustness vs. optimality","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2291486788","doi":"https://doi.org/10.1109/cdc.2016.7799040","mag":"2291486788"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2016.7799040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7799040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1603.00895","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024625828","display_name":"Julia L. Fleck","orcid":"https://orcid.org/0000-0001-7980-1887"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julia L. Fleck","raw_affiliation_strings":["Division of Systems Engineering, Boston University, MA","Division of Systems Engineering and Center for Information and Systems Engineering, Boston University, MA 02446, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering, Boston University, MA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Division of Systems Engineering and Center for Information and Systems Engineering, Boston University, MA 02446, United States","institution_ids":["https://openalex.org/I111088046","https://openalex.org/I4210116219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047685950","display_name":"Christos G. Cassandras","orcid":"https://orcid.org/0000-0002-1625-7658"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos G. Cassandras","raw_affiliation_strings":["Division of Systems Engineering, Boston University, MA","Division of Systems Engineering and Center for Information and Systems Engineering, Boston University, MA 02446, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Systems Engineering, Boston University, MA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Division of Systems Engineering and Center for Information and Systems Engineering, Boston University, MA 02446, United States","institution_ids":["https://openalex.org/I111088046","https://openalex.org/I4210116219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5123,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58154235,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5041","last_page":"5046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11395","display_name":"Radiopharmaceutical Chemistry and Applications","score":0.9945999979972839,"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"}},"topics":[{"id":"https://openalex.org/T11395","display_name":"Radiopharmaceutical Chemistry and Applications","score":0.9945999979972839,"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"}},{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/androgen-suppression","display_name":"Androgen suppression","score":0.8522243499755859},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6936646699905396},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.6443321704864502},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5937629342079163},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5366050601005554},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.45853906869888306},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.43950676918029785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4187110662460327},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35605931282043457},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32063037157058716},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.2796528935432434},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22642797231674194},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22069162130355835},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.179534912109375}],"concepts":[{"id":"https://openalex.org/C2778559712","wikidata":"https://www.wikidata.org/wiki/Q4759442","display_name":"Androgen suppression","level":4,"score":0.8522243499755859},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6936646699905396},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6443321704864502},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5937629342079163},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5366050601005554},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.45853906869888306},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.43950676918029785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4187110662460327},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35605931282043457},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32063037157058716},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2796528935432434},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22642797231674194},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22069162130355835},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.179534912109375},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/cdc.2016.7799040","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7799040","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1603.00895","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1603.00895","pdf_url":"https://arxiv.org/pdf/1603.00895","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,"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":"","raw_type":"text"},{"id":"mag:2291486788","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1603.00895","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,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1603.00895","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1603.00895","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,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1603.00895","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1603.00895","pdf_url":"https://arxiv.org/pdf/1603.00895","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,"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":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2291486788.pdf","grobid_xml":"https://content.openalex.org/works/W2291486788.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1587663028","https://openalex.org/W1976887636","https://openalex.org/W1977806117","https://openalex.org/W2004052104","https://openalex.org/W2010151685","https://openalex.org/W2018842713","https://openalex.org/W2019085527","https://openalex.org/W2022894433","https://openalex.org/W2044627838","https://openalex.org/W2046199531","https://openalex.org/W2067642346","https://openalex.org/W2100460679","https://openalex.org/W2509841691","https://openalex.org/W2521692427","https://openalex.org/W2951252358","https://openalex.org/W2963528433","https://openalex.org/W2964226613","https://openalex.org/W6623499240"],"related_works":["https://openalex.org/W2964226613","https://openalex.org/W844047819","https://openalex.org/W2521692427","https://openalex.org/W2952205157","https://openalex.org/W1977806117","https://openalex.org/W2018344939","https://openalex.org/W3081838353","https://openalex.org/W2046793647","https://openalex.org/W3130860691","https://openalex.org/W3032247377","https://openalex.org/W2591520336","https://openalex.org/W2948296790","https://openalex.org/W2783798640","https://openalex.org/W3208362775","https://openalex.org/W3096727002","https://openalex.org/W3160350173","https://openalex.org/W3110860557","https://openalex.org/W3041025944","https://openalex.org/W3103116113","https://openalex.org/W2703874201"],"abstract_inverted_index":{"Intermittent":[0],"Androgen":[1],"Suppression":[2],"(IAS)":[3],"is":[4,47,107,117],"a":[5,44,98,120,138],"treatment":[6],"strategy":[7],"for":[8,80,101,172,211],"delaying":[9],"or":[10],"even":[11],"preventing":[12],"time":[13],"to":[14,50,137,161,181,201,208],"relapse":[15],"of":[16,22,25,30,38,67,76,86,128,144,154,198],"advanced":[17],"prostate":[18,39,145],"cancer.":[19],"IAS":[20,103,149],"consists":[21],"alternating":[23],"cycles":[24],"therapy":[26,59,62,104,129,165,209],"(in":[27],"the":[28,53,74,87,155,193],"form":[29],"androgen":[31],"suppression)":[32],"and":[33,60,111,116,150,164,189],"off-treatment":[34],"periods.":[35],"The":[36],"level":[37],"specific":[40],"antigen":[41],"(PSA)":[42],"in":[43,196],"patient's":[45],"serum":[46],"frequently":[48],"monitored":[49],"determine":[51],"when":[52,61],"patient":[54,83],"will":[55,63],"be":[56],"taken":[57],"off":[58],"resume.":[64],"In":[65],"spite":[66],"extensive":[68],"recent":[69],"clinical":[70],"experience":[71],"with":[72,91,119,159,179],"IAS,":[73],"design":[75,105,210],"an":[77,205],"ideal":[78],"protocol":[79],"any":[81],"given":[82],"remains":[84],"one":[85],"main":[88],"challenges":[89],"associated":[90,118],"effectively":[92],"implementing":[93],"this":[94],"therapy.":[95],"We":[96,131],"use":[97],"threshold-based":[99],"policy":[100],"optimal":[102],"that":[106,123,191],"parameterized":[108],"by":[109],"lower":[110],"upper":[112],"PSA":[113],"threshold":[114],"values":[115],"cost":[121,156],"metric":[122,157],"combines":[124],"clinically":[125],"relevant":[126],"measures":[127],"success.":[130],"apply":[132],"Infinitesimal":[133],"Perturbation":[134],"Analysis":[135],"(IPA)":[136],"Stochastic":[139],"Hybrid":[140],"Automaton":[141],"(SHA)":[142],"model":[143,163,183],"cancer":[146],"evolution":[147],"under":[148],"derive":[151],"unbiased":[152],"estimators":[153,168],"gradient":[158],"respect":[160,180],"various":[162],"parameters.":[166],"These":[167],"are":[169],"subsequently":[170],"used":[171],"system":[173],"analysis.":[174],"By":[175],"evaluating":[176],"sensitivity":[177],"estimates":[178],"several":[182],"parameters,":[184],"we":[185],"identify":[186],"critical":[187],"ones":[188],"demonstrate":[190],"relaxing":[192],"optimality":[194],"condition":[195],"favor":[197],"increased":[199],"robustness":[200],"modeling":[202],"errors":[203],"provides":[204],"alternative":[206],"objective":[207],"at":[212],"least":[213],"some":[214],"patients.":[215]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}