{"university":{"openalex_id":"I173911158","name":"Iowa State University"},"topic":"lung-aging","total_matching":2,"offset":0,"next_offset":null,"records":[{"doi":"https://doi.org/10.1007/s00441-022-03602-3","title":"Transcriptomic and ultrastructural evidence indicate that anti-HMGB1 antibodies rescue organic dust-induced mitochondrial dysfunction","source_url":"https://doi.org/10.1007/s00441-022-03602-3","source_name":"Cell and Tissue Research","cited_by_count":8,"is_open_access":true,"openalex_work_id":"W4214883599","publication_date":"2022-03-04","publication_year":2022,"university_research_work_topics":[{"topic_slug":"lung-aging"}]},{"doi":"https://doi.org/10.1371/journal.pone.0262895","title":"E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database","source_url":"https://doi.org/10.1371/journal.pone.0262895","source_name":"PLoS ONE","cited_by_count":62,"is_open_access":true,"openalex_work_id":"W4229025171","publication_date":"2022-05-05","publication_year":2022,"university_research_work_topics":[{"topic_slug":"lung-aging"}]}],"automation_disclosure":"Generated automatically from cited source metadata. No scientist, clinician, researcher, editor, or human reviewer evaluates this publication before release."}