Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.cmpb.2018.08.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Investigating digital determinants shaping pharmacists' preparedness for interoperability and health informatics practice evolution: a systematic review.
Int J Clin Pharm
January 2025
Pharmacy Practice and Pharmacotherapeutics Department, College of Pharmacy, University of Sharjah, Sharjah, United Arab Emirates.
Background: Fragmented healthcare systems hinder pharmacists' access to comprehensive patient data, limiting their clinical role and posing health risks. Enhancing system interoperability and evaluating factors influencing pharmacists' readiness for technology-driven practice change is a crucial step.
Aim: This systematic review aimed to investigate the digital determinants of pharmacists' readiness for technology-oriented practice change and interoperability.
AI Methods for Antimicrobial Peptides: Progress and Challenges.
Microb Biotechnol
January 2025
Machine Biology Group, Department of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Antimicrobial peptides (AMPs) are promising candidates to combat multidrug-resistant pathogens. However, the high cost of extensive wet-lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning (ML) techniques playing a crucial role. AI approaches have recently revolutionised this field by accelerating the discovery of new peptides with anti-infective activity, particularly in preclinical mouse models.
View Article and Find Full Text PDFRandomized controlled trials (RCTs) evaluating anti-cancer agents often lack generalizability to real-world oncology patients. Although restrictive eligibility criteria contribute to this issue, the role of selection bias related to prognostic risk remains unclear. In this study, we developed TrialTranslator, a framework designed to systematically evaluate the generalizability of RCTs for oncology therapies.
View Article and Find Full Text PDFReadiness of adults with type 1 diabetes and diabetes caregivers for diabetes distress monitoring using a voice-based digital health solution: insights from the PsyVoice mixed methods study.
BMJ Open
January 2025
Deep Digital Phenotyping Research Unit, Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg
Objectives: Diabetes distress can negatively affect the well-being of individuals with type 1 diabetes (T1D). Voice-based (VB) technology can be used to develop inexpensive and ecological tools for managing diabetes distress. This study explored the competencies to engage with digital health services, needs and preferences of individuals with T1D or caring for a child with this condition regarding VB technology to inform the tailoring of a co-designed tool for supporting diabetes distress management.
View Article and Find Full Text PDFSystematic functional characterization of non-coding regulatory SNPs associated with central obesity.
Am J Hum Genet
January 2025
Key Laboratory of Biomedical Information Engineering of Ministry of Education, Key Laboratory of Biology Multiomics and Diseases in Shaanxi Province Higher Education Institutions, Biomedical Informatics & Genomics Center, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China. Electronic address:
Central obesity is associated with higher risk of developing a wide range of diseases independent of overall obesity. Genome-wide association studies (GWASs) have identified more than 300 susceptibility loci associated with central obesity. However, the functional understanding of these loci is limited by the fact that most loci are in non-coding regions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!