{"id":"https://openalex.org/W7222993979","doi":"https://doi.org/10.3389/fbioe.2026.1919132","title":"Predicting nanoparticle tumor delivery efficiency using explainable machine learning for cancer nanomedicine design","display_name":"Predicting nanoparticle tumor delivery efficiency using explainable machine learning for cancer nanomedicine design","publication_year":2026,"publication_date":"2026-10-20","ids":{"openalex":"https://openalex.org/W7222993979","doi":"https://doi.org/10.3389/fbioe.2026.1919132","pmid":"https://pubmed.ncbi.nlm.nih.gov/42978960","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/13727747"},"language":"en","primary_location":{"id":"doi:10.3389/fbioe.2026.1919132","doi":"https://doi.org/10.3389/fbioe.2026.1919132","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fbioe.2026.1919132","pdf_url":"https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2026.1919132/pdf","source":{"id":"https://openalex.org/S2595131146","display_name":"Frontiers in Bioengineering and Biotechnology","issn_l":"2296-4185","issn":["2296-4185"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","poland-100","russia-white-list-1","vabb-shw"],"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,"raw_source_name":"Frontiers in Bioengineering and Biotechnology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2026.1919132/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5159146583","display_name":"Abdul Karim","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Abdul Karim","raw_affiliation_strings":["Cerebrovascular Disease Research Center, Hallym University","Department of Artificial Intelligence Convergence, Hallym University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cerebrovascular Disease Research Center, Hallym University","institution_ids":["https://openalex.org/I146824383"]},{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Hallym University","institution_ids":["https://openalex.org/I146824383"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159151926","display_name":"Sutikno","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I11855966","display_name":"Diponegoro University","ror":"https://ror.org/056bjta22","country_code":"ID","type":"education","lineage":["https://openalex.org/I11855966"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Sutikno","raw_affiliation_strings":["Department of Informatics, Faculty of Science and Mathematics, Diponegoro University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Faculty of Science and Mathematics, Diponegoro University","institution_ids":["https://openalex.org/I11855966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019342779","display_name":"Arry Maulana Syarif","orcid":"https://orcid.org/0000-0002-8338-4956","observed_orcids":["https://orcid.org/0000-0002-8338-4956"]},"institutions":[{"id":"https://openalex.org/I4210127958","display_name":"Universitas Dian Nuswantoro","ror":"https://ror.org/02csxcg02","country_code":"ID","type":"education","lineage":["https://openalex.org/I4210127958"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Arry Maulana Syarif","raw_affiliation_strings":["Faculty of Computer Science, Universitas Dian Nuswantoro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science, Universitas Dian Nuswantoro","institution_ids":["https://openalex.org/I4210127958"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090051842","display_name":"Jeong In Cheol","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I146824383","display_name":"Hallym University","ror":"https://ror.org/03sbhge02","country_code":"KR","type":"education","lineage":["https://openalex.org/I146824383"]},{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["KR","US"],"is_corresponding":true,"raw_author_name":"In cheol Jeong","raw_affiliation_strings":["Cerebrovascular Disease Research Center, Hallym University","Department of Artificial Intelligence Convergence, Hallym University","Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cerebrovascular Disease Research Center, Hallym University","institution_ids":["https://openalex.org/I146824383"]},{"raw_affiliation_string":"Department of Artificial Intelligence Convergence, Hallym University","institution_ids":["https://openalex.org/I146824383"]},{"raw_affiliation_string":"Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai","institution_ids":["https://openalex.org/I98704320"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090051842"],"corresponding_institution_ids":["https://openalex.org/I146824383","https://openalex.org/I98704320"],"apc_list":{"value":3150,"currency":"CHF","value_usd":3801},"apc_paid":{"value":3150,"currency":"CHF","value_usd":3801},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.62952143,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"1919132","last_page":"1919132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10063","display_name":"Nanoparticle-Based Drug Delivery","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/2502","display_name":"Biomaterials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10063","display_name":"Nanoparticle-Based Drug Delivery","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/2502","display_name":"Biomaterials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.006800000090152025,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.004100000020116568,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cancer-nanomedicine","display_name":"cancer nanomedicine","score":0.9419999718666077},{"id":"https://openalex.org/keywords/drug-delivery-systems","display_name":"drug delivery systems","score":0.6190000176429749},{"id":"https://openalex.org/keywords/explainable-machine-learning","display_name":"explainable machine learning","score":0.8009999990463257},{"id":"https://openalex.org/keywords/shap","display_name":"SHAP","score":0.5979999899864197},{"id":"https://openalex.org/keywords/stacking-ensemble","display_name":"stacking ensemble","score":0.7279999852180481},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.7919999957084656},{"id":"https://openalex.org/keywords/model-generalization","display_name":"model generalization","score":0.6919999718666077},{"id":"https://openalex.org/keywords/zeta-potential","display_name":"zeta potential","score":0.7419999837875366},{"id":"https://openalex.org/keywords/tumor-cell-types","display_name":"tumor cell types","score":0.4429999887943268},{"id":"https://openalex.org/keywords/predictive-screening","display_name":"predictive screening","score":0.3490000069141388}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7131999731063843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6614000201225281},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5582000017166138},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4957999885082245},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.49549999833106995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47690001130104065},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.46619999408721924},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.46320000290870667},{"id":"https://openalex.org/C155672457","wikidata":"https://www.wikidata.org/wiki/Q61231","display_name":"Nanoparticle","level":2,"score":0.4049000144004822},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3797000050544739},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C15083742","wikidata":"https://www.wikidata.org/wiki/Q261659","display_name":"Nanomedicine","level":3,"score":0.36970001459121704},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3544999957084656},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.3325999975204468},{"id":"https://openalex.org/C2779820397","wikidata":"https://www.wikidata.org/wiki/Q1392806","display_name":"Drug delivery","level":2,"score":0.33239999413490295},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.3312000036239624},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28049999475479126}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fbioe.2026.1919132","doi":"https://doi.org/10.3389/fbioe.2026.1919132","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fbioe.2026.1919132","pdf_url":"https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2026.1919132/pdf","source":{"id":"https://openalex.org/S2595131146","display_name":"Frontiers in Bioengineering and Biotechnology","issn_l":"2296-4185","issn":["2296-4185"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","poland-100","russia-white-list-1","vabb-shw"],"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,"raw_source_name":"Frontiers in Bioengineering and Biotechnology","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13727747","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13727747/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13727747/pdf/fbioe-14-1919132.pdf","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,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Front Bioeng Biotechnol","raw_type":"Text"},{"id":"pmid:42978960","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42978960","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":"Frontiers in bioengineering and biotechnology","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:4cb73184a471450884a91372fdf3ffb7","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/4cb73184a471450884a91372fdf3ffb7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Bioengineering and Biotechnology, Vol 14 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fbioe.2026.1919132","doi":"https://doi.org/10.3389/fbioe.2026.1919132","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fbioe.2026.1919132","pdf_url":"https://www.frontiersin.org/journals/bioengineering-and-biotechnology/articles/10.3389/fbioe.2026.1919132/pdf","source":{"id":"https://openalex.org/S2595131146","display_name":"Frontiers in Bioengineering and Biotechnology","issn_l":"2296-4185","issn":["2296-4185"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","poland-100","russia-white-list-1","vabb-shw"],"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,"raw_source_name":"Frontiers in Bioengineering and Biotechnology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9391000270843506,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G3573587510","display_name":null,"funder_award_id":"RS\u20102022\u2010NR070859","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G4286615259","display_name":null,"funder_award_id":"RS-2022-","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G489919892","display_name":null,"funder_award_id":"NR070859","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7639084187","display_name":null,"funder_award_id":"RS-2022-NR070859","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7222993979.pdf","grobid_xml":"https://content.openalex.org/works/W7222993979.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1523741643","https://openalex.org/W1983865151","https://openalex.org/W1996993122","https://openalex.org/W2108615682","https://openalex.org/W2154943049","https://openalex.org/W2344644350","https://openalex.org/W2477103182","https://openalex.org/W2554773181","https://openalex.org/W2767065604","https://openalex.org/W2961890461","https://openalex.org/W2985892902","https://openalex.org/W3006987776","https://openalex.org/W3007717897","https://openalex.org/W3033049749","https://openalex.org/W3042603832","https://openalex.org/W3083698728","https://openalex.org/W3090709319","https://openalex.org/W3108849739","https://openalex.org/W3116089941","https://openalex.org/W3159560724","https://openalex.org/W3163880690","https://openalex.org/W4200190918","https://openalex.org/W4220660335","https://openalex.org/W4221081366","https://openalex.org/W4297252253","https://openalex.org/W4323304766","https://openalex.org/W4386553931","https://openalex.org/W4387448244","https://openalex.org/W4388290259","https://openalex.org/W4393204614","https://openalex.org/W4395078497","https://openalex.org/W4398762461","https://openalex.org/W4401634318","https://openalex.org/W4405495059","https://openalex.org/W4406098183","https://openalex.org/W4407233707","https://openalex.org/W4411454954","https://openalex.org/W7163002550"],"related_works":["https://openalex.org/W4417132228","https://openalex.org/W4405495059","https://openalex.org/W4401634318","https://openalex.org/W4386553931","https://openalex.org/W4221081366","https://openalex.org/W4281965239","https://openalex.org/W7223350990","https://openalex.org/W4412835298","https://openalex.org/W7172389820","https://openalex.org/W4385329900"],"abstract_inverted_index":{"Nanoparticle-based":[0],"drug":[1],"delivery":[2,23,51],"systems":[3],"have":[4],"been":[5],"proposed":[6],"as":[7,278,294],"a":[8,295],"promising":[9],"strategy":[10],"for":[11,47,167,170,175,264,298,316],"improving":[12],"the":[13,54,119,126,130,140,144,151,232,239,272,286,307],"efficacy":[14],"and":[15,37,61,70,85,99,134,173,228,282,289,309],"specificity":[16],"of":[17,28,165,313],"cancer":[18,321],"therapeutics.":[19],"However,":[20],"predicting":[21,48],"tumor":[22,50,251],"efficiency":[24,52],"remains":[25],"challenging":[26,188],"because":[27],"complex":[29],"interactions":[30],"among":[31,150],"nanoparticle":[32,49,95,183,301,318],"physicochemical":[33],"properties,":[34],"biological":[35],"environments,":[36],"experimental":[38,290],"conditions.":[39],"This":[40],"study":[41],"presents":[42],"an":[43,279],"explainable":[44,280],"machine-learning":[45],"framework":[46,273],"using":[53,103],"updated":[55],"Nano-Tumor":[56],"Database.":[57],"Following":[58],"data":[59],"preprocessing":[60,112],"feature":[62],"engineering,":[63],"2,319":[64],"records":[65],"were":[66,101,154,215],"used":[67,216],"to":[68,180,217,236],"develop":[69],"evaluate":[71],"Random":[72,171],"Forest,":[73,172],"Extreme":[74],"Gradient":[75,79],"Boosting":[76,80],"(XGBoost),":[77],"Light":[78],"Machine":[81],"(LightGBM),":[82],"weighted":[83,141],"ensemble,":[84],"stacking":[86,127],"ensemble":[87,128,142],"models.":[88],"To":[89],"reduce":[90],"information":[91],"leakage":[92],"from":[93,238,268],"repeated":[94],"measurements,":[96],"model":[97,201,219],"development":[98],"evaluation":[100],"revised":[102],"nanoparticle-identity-aware":[104],"grouping":[105],"based":[106],"on":[107,115],"NM.ID":[108,122,157],",":[109],"with":[110,221,250],"categorical":[111],"fitted":[113],"exclusively":[114],"training":[116],"data.":[117],"In":[118],"final":[120,240],"untouched":[121],"-grouped":[123,158],"hold-out":[124],"set,":[125],"achieved":[129,143],"lowest":[131,145],"RMSE":[132],"(3.8107)":[133],"highest":[135],"R":[136,162],"2":[137,163],"(0.0901),":[138],"while":[139,203],"MAE":[146],"(1.8320);":[147],"however,":[148],"differences":[149],"leading":[152],"models":[153],"small.":[155],"Five-fold":[156],"cross-validation":[159],"yielded":[160],"mean":[161],"values":[164],"0.2280":[166],"XGBoost,":[168],"0.2169":[169],"0.1980":[174],"LightGBM,":[176],"demonstrating":[177],"that":[178,271],"generalization":[179,311],"previously":[181],"unseen":[182],"identities":[184],"is":[185],"substantially":[186],"more":[187],"than":[189,293],"suggested":[190],"by":[191],"row-wise":[192],"validation.":[193],"Repeated":[194],"group-aware":[195,254],"splits":[196],"further":[197],"showed":[198,245],"variability":[199],"in":[200,320],"ranking,":[202],"stricter":[204],"reference-grouped":[205],"validation":[206],"indicated":[207,256],"limited":[208],"cross-study":[209],"transportability.":[210],"SHapley":[211],"Additive":[212],"exPlanations":[213],"(SHAP)":[214],"examine":[218],"interpretability,":[220],"Animal,":[222],"Tumor":[223],"Cell,":[224],"Core":[225],"material,":[226],"Dose,":[227],"Zeta":[229],"Potential":[230],"showing":[231],"largest":[233],"global":[234],"contributions":[235],"predictions":[237],"tuned":[241],"XGBoost":[242],"model.":[243],"Dose":[244],"no":[246],"meaningful":[247],"marginal":[248],"correlation":[249],"%ID,":[252],"although":[253],"ablation":[255],"modest":[257],"multivariable":[258],"predictive":[259],"contribution.":[260],"Performance":[261],"generally":[262],"deteriorated":[263],"core-material":[265],"categories":[266],"absent":[267],"training,":[269],"indicating":[270],"should":[274],"primarily":[275],"be":[276],"interpreted":[277],"screening":[281],"hypothesis-generation":[283],"tool":[284],"within":[285],"represented":[287],"chemical":[288],"domain":[291],"rather":[292],"validated":[296],"predictor":[297],"completely":[299],"novel":[300],"chemistries.":[302],"These":[303],"findings":[304],"highlight":[305],"both":[306],"potential":[308],"current":[310],"limitations":[312],"data-driven":[314],"approaches":[315],"supporting":[317],"design":[319],"nanomedicine.":[322]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-10-21T00:00:00"}
