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1. Bridging the gap between in vitro and in vivo models: a way forward to clinical translation of mitochondrial transplantation in acute disease states

8. Inhalation of ACE2 as a therapeutic target on sex-bias differences in SARS-CoV-2 infection and variant of concern

11. History of the Department of Surgery at the University of Toronto: celebrating a centennial of progress and innovation

12. Using Machine Learning to Predict Outcomes Following Carotid Artery Stenting

15. Longer-Duration Antimicrobial Therapy Does Not Prevent Treatment Failure in High-Risk Patients with Complicated Intra-Abdominal Infections

17. Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD

18. Trial of Short-Course Antimicrobial Therapy for Intraabdominal Infection

19. Using Machine Learning (XGBoost) to Predict Outcomes following Infrainguinal Bypass for Peripheral Artery Disease

21. Empagliflozin Improves Circulating Vascular Regenerative Cell Content in People Not Living With Diabetes But With Cardiovascular Risk Factors

22. Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair

25. Patients with Complicated Intra-Abdominal Infection Presenting with Sepsis Do Not Require Longer Duration of Antimicrobial Therapy

28. Empagliflozin improves circulating vascular regenerative cell content in people without diabetes with risk factors for adverse cardiac remodeling.

31. Characterizing the Impact of Procedure Funding on the Covid-19 Generated Procedure Gap in Ontario: A Population-Based Analysis

41. A Graduate Student Oath

43. 'I've never asked one question.' Understanding the barriers among orthopedic surgery residents to screening female patients for intimate partner violence

45. Did We STOP-IT? a Population-Based Interrupted Time Series Analysis of Antimicrobial Duration for Intra-abdominal Infections Before and after the Publication of a Landmark Randomized Controlled Trial

46. Vapourized hydrogen peroxide decontamination in a hospital setting inactivates SARS-CoV-2 and HCoV-229E without compromising filtration efficiency of unexpired N95 respirators

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