Toolbox of Clickable Benzylguanines for Labeling of HoxB8-Derived Macrophages via SNAP-Tag and Bioorthogonal Chemistry.

Inflammation is a dynamic process which importantly involves migration of immune cells. Understanding the onset, acute phase and resolution of inflammation is greatly facilitated by their imaging. However, immune cells are sensitive, difficult to genetically manipulate and prone to changes in response to contact, hindering the application of well-established cell labeling methods.

Clinical outcomes of HeartMate 3 left ventricular assist device support with a Bridge to Transplant vs a Destination Therapy strategy: a single-centre retrospective cohort.

Introduction: Real-world outcomes with the HeartMate 3 left ventricular assist device (LVAD) depending on whether it's a bridge to transplantation (BTT) or destination therapy (DT) are poorly studied. We aimed to compare the profile and clinical outcomes of patients supported with HeartMate 3 according to a BTT or a DT pre-implantation strategy.

Methods: All patients consecutively implanted with HeartMate 3 at our centre (University Hospital of Lausanne, Switzerland) in 2015-2022 were analysed in a retrospective observational study.

Intraoperative Dexmedetomidine Use for Enhanced Recovery after Surgery (ERAS) in Cardiac Surgery-Single Center Retrospective Observational Cohort Study.

: Dexmedetomidine, an alpha-2 agonist, is used as an adjunct to anesthesia in enhanced recovery after surgery (ERAS) programs. One of its advantages is the opioid-sparing effect which can facilitate early extubation and recovery. When the ERAS cardiac society was set in 2017, our facility was already using the ERAS program, in which the "fast-track Anesthesia" was facilitated by the intraoperative infusion of dexmedetomidine.

A study of ChatGPT in facilitating Heart Team decisions on severe aortic stenosis.

Background: Multidisciplinary Heart Teams (HTs) play a central role in the management of valvular heart diseases. However, the comprehensive evaluation of patients' data can be hindered by logistical challenges, which in turn may affect the care they receive.

Aims: This study aimed to explore the ability of artificial intelligence (AI), particularly large language models (LLMs), to improve clinical decision-making and enhance the efficiency of HTs.