{"id":"W4391311235","doi":"10.1016/j.compbiomed.2024.108050","title":"Effect of tumor heterogeneity on enhancing drug delivery to vascularized tumors using thermo-sensitive liposomes triggered by hyperthermia: A multi-scale and multi-physics computational model","year":2024,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hyperthermia; Vascular network; Drug delivery; Computer science; Biomedical engineering; Scale (ratio); Doxorubicin; Hyperthermia Treatment; Materials science; Medicine; Nanotechnology; Surgery; Physics; Internal medicine; Chemotherapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001987585,0.0003329894,0.0003426541,0.0002383151,0.0002119749,0.0005178126,0.0003709948,0.0006520449,0.000723538],"category_scores_gemma":[0.0008269555,0.0001919423,0.0003895938,0.000174314,0.0004280993,0.0005843594,0.0003724514,0.0003171334,0.00005791858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004542033,"about_ca_system_score_gemma":0.0003697253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003533122,"about_ca_topic_score_gemma":0.001470661,"domain_scores_codex":[0.9999487,0.00001155784,0.000002229746,0.000009835594,0.000009866145,0.00001775261],"domain_scores_gemma":[0.9996666,0.0002037175,0.000062343,0.00001471957,0.00002331392,0.00002931201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002840767,0.0001659497,0.0009278699,0.00006871112,0.00003229372,0.000218953,0.00003482219,0.9382056,0.05437821,0.00321477,0.000153522,0.002315173],"study_design_scores_gemma":[0.00002086508,0.00005201123,0.0004235421,0.000002093901,0.00001840465,0.00001453195,0.000007550486,0.9928417,0.006337495,0.0002129134,0.00006089636,0.000008020535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9800935,0.0004105124,0.01465611,0.0002842655,0.0000309784,0.00003034153,0.00007722699,0.00006736025,0.004349723],"genre_scores_gemma":[0.9984698,0.0001083503,0.0009310644,0.00002228108,0.000004119471,0.000008134002,0.00001278448,0.00001468765,0.0004287344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003533122,"threshold_uncertainty_score":0.007025123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644005470911262,"score_gpt":0.2975754657784234,"score_spread":0.2811354110693108,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}