Alagille syndrome is an autosomal dominant multisystem disorder with variable phenotypic penetrance, caused by heterozygous mutations in JAG1 or NOTCH2, encoding for the components of the Notch signaling pathway.In this paper, we described a novel mutation not yet reported in literature.This 3-years Sandalwood old male child was referred to our Cli
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 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 forest (RF), i
Image preprocessing to enhance phase correlation of featureless images
Abstract Traditional discussions of phase correlation for image registration consider the usefulness of the technique for feature-rich images and generally restrict image shifts to small percentages of the image size.When applied to featureless images, in applications such as cloud tracking, the phase correlation output is degraded by a prominent n