{"id":"W4409199032","doi":"10.1101/2025.04.01.646502","title":"Device encapsulated MSCs for adaptive secretome therapy to effectively target ischaemic heart injury","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"National Medical Research Council; Medical Research Council; Aromatic Plant Research Center; Duke-NUS Medical School","keywords":"Cardioprotection; Mesenchymal stem cell; Medicine; Cell therapy; Immune system; Induced pluripotent stem cell; Cardiac function curve; Pharmacology; Reperfusion injury; Ischemia; Bioinformatics; Stem cell; Cell biology; Immunology; Biology; Cardiology; Pathology; Heart failure; Embryonic stem cell","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":[0.0001252848,0.0004195209,0.0002560006,0.0002104759,0.00006365098,0.0003182115,0.000120537,0.0002618218,0.0008096903],"category_scores_gemma":[0.00006882434,0.0000847134,0.0002253774,0.00008800635,0.0001413972,0.0001675033,0.0002264173,0.0003503484,0.0002574071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189331,"about_ca_system_score_gemma":0.0001201692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001173307,"about_ca_topic_score_gemma":0.0001865636,"domain_scores_codex":[0.999933,0.000007119216,0.000006838665,0.00001624207,0.00002460595,0.00001233932],"domain_scores_gemma":[0.9999477,0.000008143757,0.00002088318,0.000006546177,0.000007240818,0.000009538959],"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":[0.00003822346,0.00001509946,0.00008565621,0.00003536747,0.000003883414,0.00002947824,0.000005551542,0.00007425005,0.9974796,0.00005277086,0.00002759378,0.002152516],"study_design_scores_gemma":[0.00001540686,0.0003347796,0.001164296,0.000007585037,0.00002295046,0.0001318614,0.00000807996,0.001128427,0.9948732,0.00002825675,0.00228166,0.000003424672],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720437,0.003345354,0.02243693,0.0001047879,0.0001266119,0.0001028683,0.0002818802,0.0002034439,0.001354411],"genre_scores_gemma":[0.9846215,0.001853513,0.01114258,0.00007723548,0.00003826137,0.00009574983,0.0002153474,0.00003948656,0.001916442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008096903,"threshold_uncertainty_score":0.002708733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854073504555516,"score_gpt":0.2700636574575874,"score_spread":0.2515229224120322,"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."}}