{"id":"W4391905095","doi":"10.1016/j.xphs.2024.02.005","title":"Improving Chemotherapy Effectiveness: Utilizing CuS Nanoparticles Coated with AS1411 Aptamer and Chitosan for Targeted Delivery of Doxorubicin to Cancerous Cells","year":2024,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Sciences","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Mashhad University of Medical Sciences","keywords":"Chitosan; Aptamer; Doxorubicin; Chemotherapy; Nanoparticle; Nanotechnology; Drug delivery; Pharmacology; Chemistry; Medicine; Materials science; Molecular biology; Surgery; Biochemistry; Biology","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":[0.0001358938,0.0003596052,0.0001889482,0.0002108266,0.000161224,0.0003389142,0.0002081723,0.0003441643,0.0006626415],"category_scores_gemma":[0.0001666698,0.0001796468,0.0001733678,0.0001419817,0.0002049516,0.0002570777,0.0001650315,0.0001988455,0.0001613949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004833832,"about_ca_system_score_gemma":0.000339838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002582527,"about_ca_topic_score_gemma":0.003942483,"domain_scores_codex":[0.9998968,0.00001158257,0.000009073603,0.00002576557,0.00002718207,0.00002965712],"domain_scores_gemma":[0.9999329,0.00001291139,0.00001878404,0.000004381331,0.0000191862,0.00001179024],"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":[0.00005858649,0.0000124321,0.0000800151,0.00003130647,0.000003524383,0.00001991137,0.000009236142,0.0001035236,0.9974875,0.00006843917,0.00003565293,0.002089837],"study_design_scores_gemma":[0.000006368431,0.0001072061,0.0004895745,0.000001719954,0.00001452367,0.00003942397,0.000005747695,0.001092293,0.997529,0.00000854662,0.0007009144,0.000004670356],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896492,0.001677034,0.006588923,0.0001638056,0.00005399081,0.0000479131,0.00004646954,0.00009782648,0.001674805],"genre_scores_gemma":[0.9921218,0.000730663,0.005355375,0.00005616248,0.0000122935,0.00001503708,0.00004014938,0.0000143855,0.001654183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002582527,"threshold_uncertainty_score":0.005135059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574984046868526,"score_gpt":0.3204433260423437,"score_spread":0.2946934855736584,"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."}}