Machine learning in the prediction of human wellbeing.

Subjective wellbeing data are increasingly used across the social sciences. Yet, despite the widespread use of such data, the predictive power of approaches commonly used to model wellbeing is only limited. In response, we here use tree-based Machine Learning (ML) algorithms to provide a better understanding of respondents' self-reported wellbeing.

Comparison of invasive and non-invasive gradients before and after TAVI and their implications on clinical outcomes.

Transcatheter aortic valve implantation (TAVI) is recommended for treatment of high-risk aortic stenosis patients. While measuring mean transaortic valve gradient (MG) is crucial in evaluating procedural success, echocardiographic measurements often overestimate direct invasive measurements. This study aimed to examine the discordance between echocardiographic and invasive MGs in TAVI patients and assess their prognostic value on long-term outcomes.

Impact of new-onset atrial fibrillation in patients with ST-segment elevation myocardial infarction.

Background: New-onset atrial fibrillation (NOAF) complicating ST-segment elevation myocardial infarction (STEMI) remains clinically challenging. The aim of this study was to assess the incidence of NOAF, identify risk factors for the development of atrial fibrillation (AF), and analyze the impact on patient care, therapy, and outcomes during long-term follow-up.

Methods: This retrospective single-center study reviewed consecutive patients undergoing coronary angiography (CAG) for acute STEMI between May 2015 and September 2023.

Cryo-electron tomography: en route to the molecular anatomy of organisms and tissues.

Cryo-electron tomography (cryo-ET) has become a key technique for obtaining structures of macromolecular complexes in their native environment, assessing their local organization and describing the molecular sociology of the cell. While microorganisms and adherent mammalian cells are common targets for tomography studies, appropriate sample preparation and data acquisition strategies for larger cellular assemblies such as tissues, organoids or small model organisms have only recently become sufficiently practical to allow for in-depth structural characterization of such samples in situ. These advances include tailored lift-out approaches using focused ion beam (FIB) milling, and improved data acquisition schemes.