{"id":"W4411251680","doi":"10.21203/rs.3.rs-6770483/v1","title":"A novel combination therapy of anti miR-21 and baculoviral TGFβ1 Gene via PLGA-gelatin-genipin nanocomposite hydrogel for arterial plaque stabilization and angiogenesis","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Angiogenesis and VEGF in Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; Mila - Quebec Artificial Intelligence Institute; McGill University","funders":"Canadian Institutes of Health Research; Islamic Development Bank; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Genipin; Gelatin; Angiogenesis; PLGA; Genetic enhancement; Nanocomposite; Cancer research; Medicine; Chemistry; Gene; Materials science; Nanotechnology; Chitosan; Biochemistry; Nanoparticle","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":[0.0001410508,0.0004346245,0.0003328311,0.0002493932,0.0001365048,0.0002879921,0.0002530024,0.0003345706,0.0008517766],"category_scores_gemma":[0.00008793907,0.0001999237,0.0002902436,0.0001537581,0.0001595119,0.0002813755,0.0002059286,0.0003778495,0.0002104446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253223,"about_ca_system_score_gemma":0.0001753564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005905872,"about_ca_topic_score_gemma":0.001009175,"domain_scores_codex":[0.9998893,0.00001040876,0.000007661617,0.00003489957,0.00003185109,0.00002593979],"domain_scores_gemma":[0.9999471,0.00001158501,0.00001706575,0.00000505526,0.000006249793,0.00001309745],"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":[0.00007002049,0.000025262,0.00003861629,0.00004387499,0.000005373382,0.00003375546,0.000007415748,0.0001180532,0.9975685,0.00005749735,0.00003436675,0.001997245],"study_design_scores_gemma":[0.00001959089,0.0002067092,0.0003922607,0.000002697602,0.00002775317,0.0001171239,0.000003777097,0.00141172,0.9964856,0.00001547082,0.001310939,0.00000623413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695792,0.00549267,0.02041585,0.0002083861,0.0001814368,0.000119671,0.0002486579,0.0003002303,0.003453997],"genre_scores_gemma":[0.985329,0.001278742,0.01037834,0.00005139867,0.00002651749,0.00007830385,0.00009228648,0.00003918418,0.002726214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008517766,"threshold_uncertainty_score":0.00284946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03684477562573295,"score_gpt":0.3470025812994658,"score_spread":0.3101578056737328,"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."}}