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AiGPro: a multi-tasks model for profiling of GPCRs for agonist and antagonist.
J Cheminform
January 2025
School of Systems Biomedical Science, Soongsil University, 369 Sangdo-ro, Dongjak-gu, 06978, Seoul, Republic of Korea.
G protein-coupled receptors (GPCRs) play vital roles in various physiological processes, making them attractive drug discovery targets. Meanwhile, deep learning techniques have revolutionized drug discovery by facilitating efficient tools for expediting the identification and optimization of ligands. However, existing models for the GPCRs often focus on single-target or a small subset of GPCRs or employ binary classification, constraining their applicability for high throughput virtual screening.
View Article and Find Full Text PDFThe parental care-seeking behavior of children with osteogenesis imperfecta based on the Anderson's model: a qualitative study.
BMC Nurs
January 2025
Department of Orthopedic, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Objective: This study aims to analyze the medical-seeking behavior of Osteogenesis Imperfecta(OI) children in Southwest China, summarize and analyze the issues in their medical process, and propose corresponding improvement strategies.
Methods: A phenomenological study involving semi-structured interviews with 20 OI caregivers at a tertiary centre for children from March to August 2021 was analyzed thematically, following Anderson's model.
Results: We identified eight themes in the data: 1)Regional disparities of OI management, 2)Big economic burden, 3)High-risk population, 4)Lack of health education, 5)Multiple treatments,6)Strict treatment indications,7)Disappointing therapeutic outcomes,8)Effective or ineffective treatment results.
Simulation-based training program effect on pediatric nurses' knowledge and performance regarding heel-prick during newborn blood screening test.
BMC Nurs
January 2025
Faculty of Applied Medical Sciences in Alnamas, University of Bisha, 255, Al Nakhil, Al-Namas, 67714, Saudi Arabia.
Background: One of the best ways to impart important skills to trainees is through simulation-based training, which is more reliable than the conventional clinical examination method. It is used in pediatric nursing training to allow nurses to practice and improve their clinical and conversational skills during an actual child encounter. A heel-prick is a complex psychomotor task that requires skill and knowledge from the pediatric nurse performing the procedure while applying for the National Newborn Screening Program.
View Article and Find Full Text PDFBarriers to healthcare professionals screening, recognizing, and managing delirium in the adult patients receiving specialist palliative care: a mixed-methods systematic review.
BMC Palliat Care
January 2025
Department of Nursing, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, No. 599 Dayang East Road, Linhai, Zhejiang, 317000, China.
Background: Delirium frequently occurs in palliative care settings, yet its screening, identification, and management remain suboptimal in clinical practice. This review aims to elucidate the barriers preventing healthcare professionals from effectively screening, recognizing, and managing delirium in adult patients receiving specialist palliative care, with the goal of developing strategies to enhance clinical practice.
Methods: A mixed-methods systematic review was conducted (PROSPERO: CRD42024563666).
Assessing the disconnect between student interest and education in artificial intelligence in medicine in Saudi Arabia.
BMC Med Educ
January 2025
Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Background: Although artificial intelligence (AI) has gained increasing attention for its potential future impact on clinical practice, medical education has struggled to stay ahead of the developing technology. The question of whether medical education is fully preparing trainees to adapt to potential changes from AI technology in clinical practice remains unanswered, and the influence of AI on medical students' career preferences remains unclear. Understanding the gap between students' interest in and knowledge of AI may help inform the medical curriculum structure.
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