Publications by authors named "E Peter Bosch"
Purpose: To elucidate if morning or evening start of exogenous progesterone (P4) five days before blastocyst embryo transfer (ET) impacts ongoing pregnancy rates (OPR) in artificial cycles.
Methods: Single-centre retrospective cohort study of 6493 artificial cycles for an ET (oestrogens and luteal phase support [LPS] with micronized vaginal progesterone [MVP] 400 mg/12 h), conducted at an infertility clinic, December 2018-July 2022. LPS was given from five days before ET.
Vasculitic neuropathy is caused by inflammatory destruction of nerve blood vessels resulting in nerve ischemia. Nerve vasculitis can be divided into two categories based on vessel size - large arteriole vasculitis (≥75 µm) and microvasculitis (<75 µm). Herein, we characterize the clinical features of nerve large-arteriole vasculitis compared to nerve microvasculitis.
View Article and Find Full Text PDFIntroduction: Patients after surgical correction of Tetralogy of Fallot (ToF) often show adverse cardiac remodeling. To better understand the underlying biological processes, we studied the relation between changes in blood biomarkers and changes in biventricular size and function as assessed by cardiac magnetic resonance imaging (CMR).
Methods: This study included 50 ToF patients, who underwent blood biomarker and CMR analysis at least twice between 2002 and 2018.
Research Question: Can machine learning tools predict the number of metaphase II (MII) oocytes and trigger day at the start of the ovarian stimulation cycle?
Design: A multicentre, retrospective study including 56,490 ovarian stimulation cycles (primary dataset) was carried out between 2020 and 2022 for analysis and feature selection. Of these, 13,090 were used to develop machine learning models for trigger day and the number of MII prediction, and another 5103 ovarian stimulation cycles (clinical validation dataset) from 2023 for clinical validation. Machine learning algorithms using deep learning were developed using optimal features from the primary dataset based on correlation.
Article Synopsis
- Increased interest in personalized nutrition is driving research into how genetic variants, particularly single-nucleotide polymorphisms (SNPs), affect nutrient metabolism, an area known as nutrigenomics.
- A systematic review analyzed 21 studies focused on SNPs related to mineral metabolism, mostly involving observational research on Caucasian populations, with a noted predominance of female participants.
- Findings revealed that certain SNPs impacted iron metabolism, suggesting some variants might increase risk for iron deficiency, indicating potential benefits from personalized iron supplementation based on genetic backgrounds.