{"id":"https://openalex.org/W2969159330","doi":"https://doi.org/10.1109/cec.2019.8790337","title":"A Computational Approach for Designing Combination Therapy in Combating Glioblastoma","display_name":"A Computational Approach for Designing Combination Therapy in Combating Glioblastoma","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2969159330","doi":"https://doi.org/10.1109/cec.2019.8790337","mag":"2969159330"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5065662305","display_name":"Terry Truong","orcid":null},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Terry Truong","raw_affiliation_strings":["School of Elect Engg & Computing, The University of Newcastle, Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Elect Engg & Computing, The University of Newcastle, Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041229487","display_name":"Pablo Moscato","orcid":"https://orcid.org/0000-0003-2570-5966"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pablo Moscato","raw_affiliation_strings":["School of Elect Engg & Computing, The University of Newcastle, Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Elect Engg & Computing, The University of Newcastle, Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008309887","display_name":"Nasimul Noman","orcid":"https://orcid.org/0000-0002-8566-0870"},"institutions":[{"id":"https://openalex.org/I78757542","display_name":"University of Newcastle Australia","ror":"https://ror.org/00eae9z71","country_code":"AU","type":"education","lineage":["https://openalex.org/I78757542"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nasimul Noman","raw_affiliation_strings":["School of Elect Engg & Computing, The University of Newcastle, Callaghan, NSW, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Elect Engg & Computing, The University of Newcastle, Callaghan, NSW, Australia","institution_ids":["https://openalex.org/I78757542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I78757542"],"apc_list":null,"apc_paid":null,"fwci":0.674,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62250454,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"127","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T11829","display_name":"Mathematical Biology Tumor Growth","score":0.9972000122070312,"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"}},{"id":"https://openalex.org/T11289","display_name":"Single-cell and spatial transcriptomics","score":0.9943000078201294,"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/T11313","display_name":"Immune cells in cancer","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2403","display_name":"Immunology"},"field":{"id":"https://openalex.org/fields/24","display_name":"Immunology and Microbiology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/combination-therapy","display_name":"Combination therapy","score":0.771355926990509},{"id":"https://openalex.org/keywords/glioblastoma","display_name":"Glioblastoma","score":0.6146779656410217},{"id":"https://openalex.org/keywords/personalized-medicine","display_name":"Personalized medicine","score":0.5523911714553833},{"id":"https://openalex.org/keywords/in-silico","display_name":"In silico","score":0.5478550791740417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5055365562438965},{"id":"https://openalex.org/keywords/tumor-microenvironment","display_name":"Tumor microenvironment","score":0.42607274651527405},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.40092986822128296},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3672853708267212},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3269413709640503},{"id":"https://openalex.org/keywords/cancer-research","display_name":"Cancer research","score":0.22080039978027344},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18371400237083435},{"id":"https://openalex.org/keywords/tumor-cells","display_name":"Tumor cells","score":0.16537407040596008},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.09223082661628723}],"concepts":[{"id":"https://openalex.org/C2776999253","wikidata":"https://www.wikidata.org/wiki/Q1304270","display_name":"Combination therapy","level":2,"score":0.771355926990509},{"id":"https://openalex.org/C2776194525","wikidata":"https://www.wikidata.org/wiki/Q282142","display_name":"Glioblastoma","level":2,"score":0.6146779656410217},{"id":"https://openalex.org/C32220436","wikidata":"https://www.wikidata.org/wiki/Q2072214","display_name":"Personalized medicine","level":2,"score":0.5523911714553833},{"id":"https://openalex.org/C2775905019","wikidata":"https://www.wikidata.org/wiki/Q192572","display_name":"In silico","level":3,"score":0.5478550791740417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5055365562438965},{"id":"https://openalex.org/C2776107976","wikidata":"https://www.wikidata.org/wiki/Q1786433","display_name":"Tumor microenvironment","level":3,"score":0.42607274651527405},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.40092986822128296},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3672853708267212},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3269413709640503},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.22080039978027344},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18371400237083435},{"id":"https://openalex.org/C3020616263","wikidata":"https://www.wikidata.org/wiki/Q1216998","display_name":"Tumor cells","level":2,"score":0.16537407040596008},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.09223082661628723},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec.2019.8790337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:uon:44655","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.13/1453346","pdf_url":null,"source":{"id":"https://openalex.org/S4377196471","display_name":"NOVA (University of Newcastle Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I78757542","host_organization_name":"University of Newcastle Australia","host_organization_lineage":["https://openalex.org/I78757542"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1677602772","https://openalex.org/W1781944587","https://openalex.org/W2045786314","https://openalex.org/W2045966198","https://openalex.org/W2064550042","https://openalex.org/W2086120407","https://openalex.org/W2126882378","https://openalex.org/W2126948899","https://openalex.org/W2148977460","https://openalex.org/W2163859522","https://openalex.org/W2241278470","https://openalex.org/W2296457333","https://openalex.org/W2310612427","https://openalex.org/W2729136634","https://openalex.org/W2775289566"],"related_works":["https://openalex.org/W3129816939","https://openalex.org/W2912862995","https://openalex.org/W2985427592","https://openalex.org/W2101501829","https://openalex.org/W2400569965","https://openalex.org/W2060263731","https://openalex.org/W2003194288","https://openalex.org/W391093122","https://openalex.org/W1521239975","https://openalex.org/W4361305867"],"abstract_inverted_index":{"The":[0,45],"signalling":[1],"pathways":[2],"of":[3,16,35,89,97,132],"the":[4,12,17,36,42,49,55,61,87,90,98,108,116,130],"glioblastoma":[5],"(GBM)":[6],"microenvironment":[7,38,100],"play":[8],"critical":[9],"roles":[10],"in":[11,24,25,52,119,138],"origin":[13],"and":[14,59,101],"progress":[15],"disease.":[18],"Recently,":[19],"it":[20],"has":[21],"been":[22],"shown":[23],"silico":[26],"experiments":[27],"that":[28,107],"combination":[29,57,77,124,140],"therapy":[30,58,141],"targeting":[31],"multiple":[32],"key":[33],"cytokines":[34],"GBM":[37,99],"can":[39],"significantly":[40],"improve":[41],"therapeutic":[43],"response.":[44],"study":[46],"also":[47,128],"revealed":[48],"inter-patient":[50],"heterogeneity":[51],"response":[53],"to":[54,80,115],"same":[56],"emphasized":[60],"need":[62],"for":[63,75,142],"personalized":[64,133],"treatment.":[65],"This":[66],"work":[67],"proposes":[68],"an":[69],"evolutionary":[70],"algorithm":[71],"with":[72],"a":[73,81,94,121],"heuristic":[74],"creating":[76],"therapies":[78],"tailored":[79],"patient's":[82],"molecular":[83],"profile.":[84],"We":[85,105],"investigated":[86],"effectiveness":[88],"proposed":[91,109],"approach":[92],"using":[93],"sophisticated":[95],"model":[96],"several":[102],"virtual":[103],"patients.":[104],"found":[106],"method":[110],"was":[111],"more":[112,122],"successful,":[113],"compared":[114],"existing":[117],"method,":[118],"designing":[120,139],"effective":[123],"therapy.":[125],"Our":[126],"results":[127],"underscored":[129],"importance":[131],"treatment":[134],"or":[135],"patient":[136],"stratification":[137],"GBM.":[143]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
