This study provides valuable insights into human valve development by integrating snRNA-seq and spatial transcriptomics to characterize cell populations and regulatory programs in the embryonic and ...

Trends in racial and gender diversity among adult hemato-oncology trainees over last decade and impact of Covid. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract ...

Peer ReviewDownload a summary of the editorial decision process including editorial decision letters, reviewer comments and author responses to feedback. The study of rare pediatric disorders is ...

Keyword clustering is a crucial method in search engine optimization (SEO) that enables marketers to group related keywords into categories. This technique not only enhances content strategy but also ...

Objective Systemic lupus erythematosus (SLE), a systemic autoimmune disease with heterogeneous severity, poses a challenge in classifying patients due to its dynamic phenotype. We therefore aimed to ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

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1 College of Electronic Engineering, Chengdu University of Information and Technology, Chengdu, China. 2 CMA Cloud-Precipitation Physics and Weather Modification Key Laboratory (CPML), Beijing, China.

Objectives To identify distinct profiles among elderly patients in primary care so that general practitioners (GPs) can develop more targeted care strategies. Design A cross-sectional analysis of ...

The Northern Adriatic is a dynamic and the most productive part of the Adriatic Sea. The phytoplankton of the Northern Adriatic is, as many studies in this area showed, under heavy influence of ...