Fostering Caring Attributes to Improve Patient Care in Nursing Through Small-Group Work: Perspectives of Students and Educators.

: Nursing relies on the development of caring attributes to uphold exceptional standards of care. While small-group work is a common practice in nursing education, its pivotal role in nurturing these attributes often remains underexplored. : This study explored how caring attributes emerge in small-group settings from the perspectives of nursing students and educators.

Machine learning for antimicrobial peptide identification and design.

Artificial intelligence (AI) and machine learning (ML) models are being deployed in many domains of society and have recently reached the field of drug discovery. Given the increasing prevalence of antimicrobial resistance, as well as the challenges intrinsic to antibiotic development, there is an urgent need to accelerate the design of new antimicrobial therapies. Antimicrobial peptides (AMPs) are therapeutic agents for treating bacterial infections, but their translation into the clinic has been slow owing to toxicity, poor stability, limited cellular penetration and high cost, among other issues.

The feasibility and effectiveness of telecare consultations in a nurse-led post-acute stroke clinic.

Background: Telecare may provide an alternative to maintaining post-acute stroke care services in making benefit to both the providers and the stroke survivors, although study is needed to investigate its feasibility and effectiveness in integrating this innovative delivery mode into a routine.

Objectives: The objectives of this study are to assess the feasibility and effectiveness of telecare consultations in a nurse-led post-acute stroke clinic.

Methods: A pre- and post-test one group quasi-experimental design was adopted.