Differences in the Use and Perception of Telehealth Across Four Mental Health Professions: Insights From a Secondary Analysis of Qualitative Data.

There is growing evidence that the uptake and use of telehealth is influenced by the distinct specialty area or type of healthcare service provided, with mental health services presenting particular challenges. However, little is known about how telehealth use differs between different mental health professions, and no qualitative research has explored variations in telehealth use and perspectives at the profession level within Australian mental health services. To address this gap, we analyzed transcripts from 19 semi-structured interviews conducted with mental healthcare professionals in a local health district within New South Wales, Australia.

Stepping dynamics of dynein characterized by MINFLUX.

Cytoplasmic dynein is a dimeric motor that drives minus-end directed transport on microtubules (MTs). To couple ATP hydrolysis to a mechanical step, a dynein monomer must be released from the MT before undergoing a conformational change that generates a bias towards the minus end. However, the dynamics of dynein stepping have been poorly characterized by tracking flexible regions of the motor with limited resolution.

Deep-NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data.

Noncompartmental analysis (NCA) is a model-independent approach for assessing pharmacokinetics (PKs). Although the existing NCA algorithms are very well-established and widely utilized, they suffer from low accuracies in the setting of sparse PK samples. In response, we developed Deep-NCA, a deep learning (DL) model to improve the prediction of key noncompartmental PK parameters.