THE VALUE OF MACHINE LEARNING FOR PROGNOSIS PREDICTION OF DIPHENHYDRAMINE EXPOSURE: NATIONAL ANALYSIS OF 50,000 PATIENTS IN THE UNITED STATES

The value of machine learning for prognosis prediction of diphenhydramine exposure: National analysis of 50,000 patients in the United States

Background: Diphenhydramine (DPH) is an antihistamine medication that in overdose can result in anticholinergic Tooth Powders symptoms and serious complications, including arrhythmia and coma.We aimed to compare the value of various machine learning (ML) models, including light gradient boosting machine (LGBM), logistic regression (LR), and random

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Interaction between endogenous microRNAs and virus-derived small RNAs controls viral replication in insect vectors.

MicroRNAs (miRNAs) play an important DUSTER role in resisting virus infection in insects.Viruses are recognized by insect RNA interference systems, which generate virus-derived small RNAs (vsRNAs).To date, it is unclear whether viruses employ vsRNAs to regulate the expression of endogenous miRNAs.We previously found that miR-263a facilitated the pr

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