Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
The original version of this Article contained an error in the spelling of the author Julia Sidorenko, which was incorrectly given as Julia Sirodenko. This has now been corrected in both the PDF and HTML versions of the Article. Further, the sixth sentence of the second paragraph of the Correspondence and the legend to Fig. 1 incorrectly omitted citation of work by Heilmann-Helmbach, S. et al. This has now been corrected in both the PDF and HTML versions of the Article.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244080 | PMC |
| http://dx.doi.org/10.1038/s41467-018-07400-w | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Blood pressure-lowering efficacy of antihypertensive drugs and their combinations: a systematic review and meta-analysis of randomised, double-blind, placebo-controlled trials.
Lancet
August 2025
The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia; Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia. Electronic address:
Background: We aimed to quantify the blood pressure-lowering efficacy of antihypertensive drugs and their combinations from the five major drug classes.
Methods: We conducted a systematic review and meta-analysis of randomised, double-blind, placebo-controlled trials involving adult participants randomly assigned to receive angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, β blockers, calcium channel blockers, or diuretics. Eligibility criteria included follow-up duration between 4 weeks and 26 weeks, antihypertensive drug treatment fixed in all participants for at least 4 weeks before follow-up blood pressure assessment; and availability of clinic blood pressure for the calculation of mean difference in systolic blood pressure between treatment groups.
Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer's disease progression.
Alzheimers Res Ther
August 2025
Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Background: Alzheimer's disease (AD) is the principal cause of dementia and requires the early diagnosis of people with mild cognitive impairment (MCI) who are at high risk of progressing. Early diagnosis is imperative for optimizing clinical management and selecting proper therapeutic interventions. Structural magnetic resonance imaging (MRI) markers have been widely investigated for predicting the conversion of MCI to AD, and recent advances in deep learning (DL) methods offer enhanced capabilities for identifying subtle neurodegenerative changes over time.
View Article and Find Full Text PDFStructural MRI-based Computer-aided Diagnosis Models for Alzheimer Disease: Insights into Misclassifications and Diagnostic Limitations.
Radiol Artif Intell
July 2025
Alzheimer's Disease Neuroimaging Initiative investigators are listed at https://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf.
Purpose To examine common patterns among different computer-aided diagnosis (CAD) models for Alzheimer's disease (AD) using structural MRI data and to characterize the clinical and imaging features associated with their misclassifications. Materials and Methods This retrospective study utilized 3258 baseline structural MRIs from five multisite datasets and two multidisease datasets collected between September 2005 and December 2019. The 3D Nested Hierarchical Transformer (3DNesT) model and other CAD techniques were utilized for AD classification using 10-fold cross-validation and cross-dataset validation.
View Article and Find Full Text PDFLoss of Insulin-Positive Cell Clusters Precedes the Decrease in Islet Frequency and β-Cell Area in Type 1 Diabetes.
Diabetes
July 2025
Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida Diabetes Institute, Gainesville, FL.
Unlabelled: In type 1 diabetes (T1D), insulin (INS) deficiency results from immune-mediated destruction of β-cells. The majority of functional β-cell mass is typically lost within months to years of disease diagnosis, but the timing and nature of this loss, particularly in early disease stages, remain unclear. We developed a whole-slide scanned image analysis pipeline for semiautomated quantitation of endocrine area, islet frequency, interislet distance, and endocrine object size distribution in 145 human pancreata from 60 donors without diabetes, 19 donors with single autoantibody positivity, 10 with multiple autoantibody positivity (mAAb+), and 16 with recent-onset (duration 0-1 year), 23 with medium-duration (1-7 years), and 17 with long-duration T1D (7+ years).
View Article and Find Full Text PDFThis is a collection of clinical experiences exploring the real-world effectiveness of a hydrophilic curcumin-based oral formulation (CHC, Diabec) in the management of macular oedema across diverse retinal conditions, including diabetic macular oedema, central serous chorioretinopathy, branch retinal vein occlusion and Irvine-Gass syndrome. Eight cases reported significant improvements in best-corrected visual acuity and central macular thickness, with complete resolution of oedema in some instances. CHC was well tolerated, with no adverse effects reported.
View Article and Find Full Text PDF