Results 101 to 110 of about 12,921,630 (316)
This study categorizes pollutant-induced inflammation–cancer transition into three stages: non-alcoholic fatty liver disease (NAFLD), liver fibrosis, and hepatocellular carcinoma (HCC).
Yulun Jian +3 more
doaj +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
Summary: Background: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are established treatments for obesity. However, it remains inconclusive whether the combination of lifestyle modifications and GLP-1RA interventions can lead to greater weight ...
Jiaheng Chu +6 more
doaj +1 more source
Single-cell measurements enable more sophisticated studies of the genetic basis of gene expression phenotypes.
openaire +2 more sources
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa +7 more
wiley +1 more source
Lost in the Vaso‐Occlusion: A Patient's Abdominal Pain Returns With a Vengeance
Pediatric Blood &Cancer, EarlyView.
Dunia Hatabah +5 more
wiley +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks
Visualization algorithms are fundamental tools for interpreting single-cell data. However, standard methods, such as t-stochastic neighbor embedding (t-SNE), are not scalable to datasets with millions of cells and the resulting visualizations cannot be ...
Cho, Hyunghoon +2 more
core +1 more source
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Menéndez de la Prida, Liset +1 more
openaire +3 more sources
Organoids in pediatric cancer research
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley +1 more source

