Background: Acute myocardial infarctions are deadly to patients and burdensome to healthcare systems. Most recorded infarctions are patients' first, occur out of the hospital, and often are not accompanied by cardiac comorbidities. The clinical manifestations of the underlying pathophysiology leading to an infarction are not fully understood and little effort exists to use explainable machine learning to learn predictive clinical phenotypes before hospitalization is needed.
View Article and Find Full Text PDFIntroduction: Assays for ethylene glycol (EG) with a rapid turn-around time are not routinely available. Clinicians must rely on historical features and readily available clinical tests, combined with clinical acumen, to guide the initial management of suspected EG poisoning. Hypocalcemia has been suggested as a clue supporting the diagnosis of EG poisoning in patients presenting with an unexplained high anion gap metabolic acidosis (HAGMA).
View Article and Find Full Text PDFObjective: To investigate the impact of chemotherapy on the uterus.
Design: Cross-sectional pilot study.
Setting: Single university fertility clinic.
Ramp sequences occur when the average translational efficiency of codons near the 5' end of highly expressed genes is significantly lower than the rest of the gene sequence, which counterintuitively increases translational efficiency by decreasing downstream ribosomal collisions. Here, we show that the relative codon adaptiveness within different tissues changes the existence of a ramp sequence without altering the underlying genetic code. We present the first comprehensive analysis of tissue and cell type-specific ramp sequences and report 3108 genes with ramp sequences that change between tissues and cell types, which corresponds with increased gene expression within those tissues and cells.
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