{"id":"https://openalex.org/W3110860557","doi":"https://doi.org/10.1109/cibcb48159.2020.9277647","title":"A closed-loop optimization framework for personalized cancer therapy design","display_name":"A closed-loop optimization framework for personalized cancer therapy design","publication_year":2020,"publication_date":"2020-10-27","ids":{"openalex":"https://openalex.org/W3110860557","doi":"https://doi.org/10.1109/cibcb48159.2020.9277647","mag":"3110860557"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb48159.2020.9277647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb48159.2020.9277647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5049467276","display_name":"Fabrizio Angaroni","orcid":"https://orcid.org/0000-0002-3375-6686"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Fabrizio Angaroni","raw_affiliation_strings":["Dept. of Informatics, Systems and Communication, Universit\u00e1 degli Studi di Milano-Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Informatics, Systems and Communication, Universit\u00e1 degli Studi di Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029516637","display_name":"Mattia Pennati","orcid":null},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mattia Pennati","raw_affiliation_strings":["Dept. of Informatics, Systems and Communication, Universit\u00e1 degli Studi di Milano-Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Informatics, Systems and Communication, Universit\u00e1 degli Studi di Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051338072","display_name":"Lucrezia Patruno","orcid":"https://orcid.org/0000-0002-3721-9984"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lucrezia Patruno","raw_affiliation_strings":["Dept. of Informatics, Systems and Communication, Universit\u00e1 degli Studi di Milano-Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Informatics, Systems and Communication, Universit\u00e1 degli Studi di Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038449865","display_name":"Davide Maspero","orcid":"https://orcid.org/0000-0001-8519-4331"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Davide Maspero","raw_affiliation_strings":["Dept. of Informatics, Systems and Communication, Universit\u00e1 degli Studi di Milano-Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Informatics, Systems and Communication, Universit\u00e1 degli Studi di Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037919963","display_name":"Marco Antoniotti","orcid":"https://orcid.org/0000-0002-2823-6838"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Antoniotti","raw_affiliation_strings":["Dept. of Informatics, Systems and Communication and Bicocca Bioinformatics, Biostatistics and Bioimaging Center (B4), Universit\u00e1 degli Studi di Milano\u2013Bicocca, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Dept. of Informatics, Systems and Communication and Bicocca Bioinformatics, Biostatistics and Bioimaging Center (B4), Universit\u00e1 degli Studi di Milano\u2013Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055916343","display_name":"Alex Graudenzi","orcid":"https://orcid.org/0000-0001-5452-1918"},"institutions":[{"id":"https://openalex.org/I4210095629","display_name":"Institute of Molecular Bioimaging and Physiology","ror":"https://ror.org/00s2j5046","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210095629","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alex Graudenzi","raw_affiliation_strings":["Institute of Molecular Bioimaging and Physiology, Consiglio Nazionale delle Ricerche, Segrate, Italy"],"affiliations":[{"raw_affiliation_string":"Institute of Molecular Bioimaging and Physiology, Consiglio Nazionale delle Ricerche, Segrate, Italy","institution_ids":["https://openalex.org/I4210095629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049467276"],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":null,"apc_paid":null,"fwci":0.1263,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52502748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11215","display_name":"Chronic Myeloid Leukemia Treatments","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2720","display_name":"Hematology"},"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/T11215","display_name":"Chronic Myeloid Leukemia Treatments","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2720","display_name":"Hematology"},"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/T10952","display_name":"PI3K/AKT/mTOR signaling in cancer","score":0.9955000281333923,"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/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"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/computer-science","display_name":"Computer science","score":0.6246433258056641},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5671533942222595},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.46065446734428406},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41519755125045776},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.41132885217666626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21052053570747375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1349087357521057}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6246433258056641},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5671533942222595},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.46065446734428406},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41519755125045776},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.41132885217666626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21052053570747375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1349087357521057},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cibcb48159.2020.9277647","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb48159.2020.9277647","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"},{"id":"pmh:oai:boa.unimib.it:10281/298078","is_oa":false,"landing_page_url":"http://hdl.handle.net/10281/298078","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6299999952316284,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W88520345","https://openalex.org/W174227552","https://openalex.org/W231975775","https://openalex.org/W337711649","https://openalex.org/W612083148","https://openalex.org/W628329697","https://openalex.org/W1565693361","https://openalex.org/W1763790326","https://openalex.org/W1848513657","https://openalex.org/W1966653484","https://openalex.org/W2019355348","https://openalex.org/W2026332415","https://openalex.org/W2031752336","https://openalex.org/W2034074778","https://openalex.org/W2040625016","https://openalex.org/W2040767617","https://openalex.org/W2049594435","https://openalex.org/W2056300644","https://openalex.org/W2058201897","https://openalex.org/W2060085351","https://openalex.org/W2061676245","https://openalex.org/W2064381013","https://openalex.org/W2098432798","https://openalex.org/W2098802717","https://openalex.org/W2103443944","https://openalex.org/W2105214030","https://openalex.org/W2107582371","https://openalex.org/W2107962575","https://openalex.org/W2112942078","https://openalex.org/W2121510837","https://openalex.org/W2126928912","https://openalex.org/W2135630936","https://openalex.org/W2140111850","https://openalex.org/W2147641419","https://openalex.org/W2154856176","https://openalex.org/W2163329109","https://openalex.org/W2179429273","https://openalex.org/W2209688796","https://openalex.org/W2253465175","https://openalex.org/W2270276547","https://openalex.org/W2290431143","https://openalex.org/W2404214748","https://openalex.org/W2471536144","https://openalex.org/W2502254989","https://openalex.org/W2529657394","https://openalex.org/W2738988147","https://openalex.org/W2767281692","https://openalex.org/W2770818476","https://openalex.org/W2791561208","https://openalex.org/W2805733506","https://openalex.org/W2842089854","https://openalex.org/W2889264838","https://openalex.org/W2891493071","https://openalex.org/W2949814822","https://openalex.org/W2998744531","https://openalex.org/W3016108086","https://openalex.org/W3016528319","https://openalex.org/W3032247377","https://openalex.org/W3106407603","https://openalex.org/W4211209398","https://openalex.org/W4232464081","https://openalex.org/W4243369158","https://openalex.org/W6724493429"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"A":[0,33],"current":[1],"challenge":[2],"in":[3,40,51,71,105,225,230,239,246],"cancer":[4],"research":[5],"is":[6,100,153],"the":[7,15,31,41,52,86,107,110,154,158,174,179,200,215,250],"development":[8],"of":[9,17,43,54,93,109,123,136,150,160,178,199,207,217,243,249],"therapeutic":[10],"strategies":[11],"aimed":[12,80],"at":[13,81,142],"reducing":[14],"toxicity":[16],"treatments,":[18],"since":[19],"Adverse":[20],"Events":[21],"(AEs)":[22],"typically":[23],"cause":[24],"substantial":[25],"problems":[26],"and":[27,50,78,84,127,191,195,203,245],"long-term":[28],"damages":[29],"to":[30,36,47,65,74,97,156,220],"patients.":[32],"possible":[34],"solution":[35],"this":[37,66,98],"issue":[38,99],"lies":[39],"personalization":[42],"therapy":[44,87],"dosages":[45,77],"according":[46],"demographic":[48],"factors":[49],"employment":[53],"optimized":[55,76,201,236],"data-driven":[56],"drug":[57],"administration":[58,224],"protocols.":[59],"Control":[60],"theory":[61,95],"can":[62],"be":[63],"exploited":[64],"end,":[67],"as":[68],"its":[69],"application":[70,92,216],"pharmacology":[72],"allows":[73],"define":[75],"schedules,":[79],"minimizing":[82],"AEs":[83],"maximizing":[85],"efficacy.":[88],"However,":[89],"an":[90,185],"effective":[91],"control":[94],"approaches":[96],"constrained":[101],"by":[102,167],"our":[103,151,218,235],"ability":[104,155],"inferring":[106],"parameters":[108,162],"mathematical":[111,134],"models":[112],"from":[113],"currently":[114],"available":[115],"data.We":[116],"here":[117],"present":[118,214],"a":[119,133,137,164,169,193,204,210,240,247],"closed-loop":[120],"optimization":[121],"framework":[122,152,182,219],"patient-specific":[124,161],"pharmacokinetics":[125],"(PK)":[126],"pharmacodynamics":[128],"(PD)":[129],"models,":[130],"combined":[131],"with":[132],"model":[135],"liquid":[138],"tumor,":[139],"which":[140,231],"aims":[141],"overcoming":[143],"such":[144],"limitations.":[145],"The":[146],"most":[147],"relevant":[148],"feature":[149],"learn":[157],"value":[159],"via":[163],"Bayesian":[165],"update,":[166],"exploiting":[168],"feedback":[170],"signal":[171],"obtained":[172],"monitoring":[173],"tumor":[175],"burden":[176],"dynamics":[177],"patient.":[180],"Our":[181],"employs":[183],"CasADi,":[184],"open-source":[186],"tool":[187],"for":[188],"nonlinear":[189],"optimization,":[190],"guarantees":[192],"good":[194],"robust":[196],"numerical":[197],"estimation":[198],"schedule":[202],"parsimonious":[205],"use":[206],"computational":[208],"time.As":[209],"case":[211],"study,":[212],"we":[213,232],"Tyrosine":[221],"Kinase":[222],"Inhibitor":[223],"Chronic":[226],"Myeloid":[227],"Leukemia":[228],"(CML),":[229],"show":[233],"that":[234],"protocols":[237],"result":[238],"faster":[241],"decay":[242],"CSCs":[244],"reduction":[248],"overall":[251],"toxicity.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
