Results 171 to 180 of about 737,862 (243)
Abstract Objective Circulating small noncoding RNAs represent potential biomarkers of temporal lobe epilepsy (TLE). Recently, two transfer RNA fragments (tRFs), 5′tRF Glu‐CTC and Gly‐GCC, were found to be elevated in plasma samples collected in advance of a seizure in TLE patients, suggesting they may serve as potential wet biomarkers of seizure risk ...
Marie Soukupova +15 more
wiley +1 more source
Abstract Objective The International Classification of Cognitive Disorders in Epilepsy (IC‐CoDE) is a consensus‐based, empirically‐driven approach to standardize cognitive phenotyping in epilepsy research that has quickly garnered interest within the epilepsy community. However, manually generating IC‐CoDE phenotypes in group data is laborious and time‐
Robyn M. Busch +11 more
wiley +1 more source
Objective – To explore the characteristics and distribution of randomized controlled trials (RCTs) in the medical literature. The study aims to identify the growth patterns of the RCT, key subject matter, country and language of publication, and determine a list of core journals which contain a substantial proportion of the RCT literature.
openaire +1 more source
Abstract Objective Prediction models are increasingly being sought in epilepsy surgery to predict postoperative outcomes and support clinical decision‐making. Studies summarizing the evidence in this area can provide insight into the type of surgical prediction models, their methodology, and their performance and inform areas for future research.
Alyssa A. Federico +5 more
wiley +1 more source
Objective – A review of the journals containing research listed in PubMed Central (PMC), but not selected for inclusion in the National Library of Medicine (NLM) collection. The authors identified reasons why journals had not been included in the collection and if any met the NLM selection criteria and were appropriate for inclusion.Design ...
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AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Objective – Determine what characteristics ofa journal’s published articles can be used topredict the journal impact factor (JIF).Design – A retrospective cohort study.Setting – The researchers are located atMcMaster University, Hamilton, Ontario,Canada.Subjects – The sample consisted of 1,267clinical research articles from 103 evidencebased and ...
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ABSTRACT Background Obstructive sleep apnea (OSA) may contribute to fatigue in head and neck cancer patients undergoing chemotherapy and radiotherapy, particularly as both have the potential to impact the mechanics and dynamics of the airway.
Augustin G. L. Vannier +7 more
wiley +1 more source
Sandy Iverson +5 more
openaire +3 more sources
Objective – To predict future use of journal titles for making subscription decisions.Design – Retrospective cohort study.Setting – Louisiana State University School of Medicine Library in New Orleans.Subjects – All library users, estimated to consist of primarily faculty members or their designees such as research assistants.Methods – Estelle Brodman ...
openaire +1 more source

