Results 171 to 180 of about 875,517 (356)
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
ABSTRACT Biallelic pathogenic variants in AKR1D1 cause Δ4‐3‐oxosteroid 5β‐reductase deficiency, disrupt bile acid synthesis, and result in Congenital Bile Acid Synthesis defect type 2 (CBAS2). CBAS2 presents in infancy with cholestasis, coagulopathy, and failure to thrive.
Jade Hudson +3 more
wiley +1 more source
Contemporary management of pain in cirrhosis: Toward precision therapy for pain
Abstract Chronic pain is highly prevalent in patients with cirrhosis and is associated with poor health‐related quality of life and poor functional status. However, there is limited guidance on appropriate pain management in this population, and pharmacologic treatment can be harmful, leading to adverse outcomes, such as gastrointestinal bleeding ...
Alexis Holman +4 more
wiley +1 more source
Identification of sepsis-induced ALI onset related genes.
Xue Fu (549661) +7 more
openalex +1 more source
The design of the entire paper. Green part represents the bioinformatics analysis approach. Yellow part represents the ideas of animal experiment. Abstract Background Chronic obstructive pulmonary disease (COPD) is a type of chronic respiratory disease.
Xuejing Luan +5 more
wiley +1 more source
This study developed a minimally invasive, in situ small intestinal injection technique for mice, enabling targeted delivery of bioactive molecules while bypassing gastric degradation. Validation using functional assays and single‐cell RNA sequencing reveals high‐mobility group box 1–mediated epithelial responses, offering a translational tool for gut ...
Yawen Lai +7 more
wiley +1 more source
Natural history of liver disease in a large international cohort of children with Alagille syndrome: Results from the GALA study. Abstract Background and Aims Alagille syndrome (ALGS) is a multisystem disorder, characterized by cholestasis. Existing outcome data are largely derived from tertiary centers, and real‐world data are lacking.
Shannon M. Vandriel +93 more
wiley +1 more source

