Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jcyt.2018.08.003 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
AppRaise: Software for Quantifying Evidence Uncertainty in Systematic Reviews Using a Posterior Mixture Model.
J Eval Clin Pract
September 2025
Health Technology Assessment Unit, Acute and Hospital-Based Care Portfolio, Ontario Health, Toronto, Ontario, Canada.
Rationale: Systematic reviews are essential for evidence-based healthcare decision-making. While it is relatively straightforward to quantitatively assess random errors in systematic reviews, as these are typically reported in primary studies, the assessment of biases often remains narrative. Primary studies seldom provide quantitative estimates of biases and their uncertainties, resulting in systematic reviews rarely including such measurements.
View Article and Find Full Text PDFThe Risks and Challenges Facing the Acupuncture Profession in the United States.
Med Acupunct
August 2025
American TCM Association, Roseville, MN 55113, USA.
Introduction: Acupuncture has gained recognition in modern health care for its effectiveness in managing chronic pain, reducing stress, and enhancing well-being.
Discussion: Despite this, the acupuncture profession in the United States faces significant challenges, including the disconnect between education and job markets, the encroachment of other health professionals such as physical therapists, preference for medical doctors over licensed acupuncturists in medical establishments, and inconsistent entry standards that affect care quality. Fragmented regulations and public misconceptions further undermine the profession's credibility.
A Pure Transformer Pretraining Framework on Text-attributed Graphs.
Proc Mach Learn Res
November 2024
Pretraining plays a pivotal role in acquiring generalized knowledge from large-scale data, achieving remarkable successes as evidenced by large models in CV and NLP. However, progress in the graph domain remains limited due to fundamental challenges represented by feature heterogeneity and structural heterogeneity. Recent efforts have been made to address feature heterogeneity via Large Language Models (LLMs) on text-attributed graphs (TAGs) by generating fixed-length text representations as node features.
View Article and Find Full Text PDFFrom concept to chemistry: integrating protection group strategy and reaction feasibility into non-natural amino acid synthesis planning.
Chem Sci
September 2025
Molecular AI, Discovery Sciences, BioPharmaceuticals R&D, AstraZeneca Gothenburg Sweden
Incorporating non-natural amino acids (NNAAs) into peptides enhances therapeutic properties, including binding affinity, metabolic stability, and half-life time. The pursuit of novel NNAAs for improved peptide designs faces the challenge of effective synthesis of these building blocks as well as the entire peptide itself. Solid-Phase Peptide Synthesis (SPPS) is an essential technology for the automated assembly of peptides with NNAAs, necessitating careful protection for effective coupling of amino acids in the peptide chain.
View Article and Find Full Text PDFBackground: Intervertebral disc degeneration (IDD) is a prevalent spinal condition frequently associated with pain and motor impairment, imposing a substantial burden on quality of life. Despite extensive investigations into the genetic predisposition to IDD, the precise pathogenic genes and molecular pathways involved remain inadequately characterized, underscoring the need for continued research to clarify its genetic underpinnings.
Methods: This study leveraged IDD data from the FinnGen R12 cohort and integrated expression quantitative trait loci data across 49 tissues from the Genotype-Tissue Expression version 8 database to perform a cross-tissue transcriptome-wide association study (TWAS).