Results 51 to 60 of about 146,484 (287)
Information resource preferences by general pediatricians in office settings: a qualitative study
Background Information needs and resource preferences of office-based general pediatricians have not been well characterized. Methods Data collected from a sample of twenty office-based urban/suburban general pediatricians consisted of: (a) a demographic
Lehmann Harold P+2 more
doaj +1 more source
For six decades, the Department of Pediatric Infectious Diseases of the Russian Medical Academy of Continuous Professional Education of the Ministry of Health of the Russian Federation has been a leader in one of the key areas of pediatrics — pediatric ...
A. A. Cheburkin, T. A. Chebotareva
semanticscholar +1 more source
The power of microRNA regulation—insights into immunity and metabolism
MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto+2 more
wiley +1 more source
Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies
Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren+16 more
wiley +1 more source
The authors analyzed the spatial distributions of gene and metabolite profiles in cervical cancer through spatial transcriptomic and spatially resolved metabolomic techniques. Pivotal genes and metabolites within these cases were then identified and validated.
Lixiu Xu+3 more
wiley +1 more source
Artificial Intelligence for Infectious Disease Prediction and Prevention: A Comprehensive Review [PDF]
Artificial Intelligence (AI) and infectious diseases prediction have recently experienced a common development and advancement. Machine learning (ML) apparition, along with deep learning (DL) emergence, extended many approaches against diseases apparition and their spread.
arxiv +1 more source
CD226+CD8+ T cells express elevated levels of RUNX2, exhibit higher proliferation capacity, cytokines and cytolytic molecules expression, and migratory capacity. In contrast, CD226−CD8+ T cells display an exhausted phenotype associated with the increased expression of co‐inhibitory receptors and impaired effector functions.
Maryam Rezaeifar+4 more
wiley +1 more source
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis [PDF]
Infectious keratitis is the most common entities of corneal diseases, in which pathogen grows in the cornea leading to inflammation and destruction of the corneal tissues. Infectious keratitis is a medical emergency, for which a rapid and accurate diagnosis is needed for speedy initiation of prompt and precise treatment to halt the disease progress and
arxiv
FOXL2 c.402C>G mutation drives granulosa cell tumors. Using CRISPR technology, we selectively corrected this mutation, reducing malignancy and increasing sensitivity to dasatinib and ketoconazole. Transcriptomic changes revealed potential therapeutic targets, demonstrating CRISPR's promise for treating this rare ovarian cancer.
Sandra Amarilla‐Quintana+17 more
wiley +1 more source
Introduction Respiratory tract infections (RTIs) stand out as the most frequent causes leading to visits to the emergency department and hospitalizations.
Salma AlBahrani+9 more
doaj +1 more source