{"id":"W4402413732","doi":"10.1021/acsami.4c10098","title":"Synergistic Enhancement of Photodynamic Cancer Therapy with Mesenchymal Stem Cells and Theranostic Nanoparticles","year":2024,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Nanoplatforms for cancer theranostics","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Regroupement Québécois sur les Matériaux de Pointe; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación; Lietuvos Mokslo Taryba","keywords":"Photodynamic therapy; Mesenchymal stem cell; Materials science; Photosensitizer; Nanotechnology; Phototoxicity; Homing (biology); Nanoparticle; Cancer therapy; Cancer research; Cancer; Medicine; Chemistry; Pathology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000152038,0.0004018023,0.00027593,0.0002280933,0.00007548768,0.0002579521,0.0001400303,0.0002952019,0.001052057],"category_scores_gemma":[0.00008598622,0.0001074594,0.0002940337,0.0001325247,0.0001837916,0.000221439,0.0003613006,0.0002633593,0.0002449831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002271891,"about_ca_system_score_gemma":0.0002290454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002913156,"about_ca_topic_score_gemma":0.000730806,"domain_scores_codex":[0.9998831,0.00001831979,0.000007969902,0.00002344856,0.00004343001,0.00002375782],"domain_scores_gemma":[0.9999565,0.00001142378,0.00001146694,0.000004417664,0.000006777289,0.000009452929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005319294,0.00002921225,0.00010858,0.00005858349,0.000009320497,0.0000373453,0.000009697665,0.0004053941,0.9925373,0.0002721691,0.00007171756,0.006407346],"study_design_scores_gemma":[0.00001251377,0.0001958785,0.000482115,0.000003678498,0.00001835839,0.00009227891,0.000007927407,0.002399054,0.9944938,0.00007279618,0.002217856,0.000003747307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622123,0.005583201,0.02539001,0.0003277471,0.00009271435,0.00009870426,0.0001460075,0.0002422917,0.005907027],"genre_scores_gemma":[0.9868951,0.001537882,0.009071505,0.0001062134,0.00002148806,0.00005357483,0.00005890793,0.00002073792,0.00223474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001052057,"threshold_uncertainty_score":0.003519475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00829244034207965,"score_gpt":0.2122586138644684,"score_spread":0.2039661735223887,"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."}}