Publications by authors named "E H Sage"

Background: Cystic fibrosis (CF) is caused by mutations in the gene encoding the cystic fibrosis transmembrane conductance regulator (CFTR) channel. For people with CF (pwCF) affected by the most common pathogenic variant F508del, a tritherapy, named Trikafta/Kaftrio (ETI: elexacaftor (VX-445) /tezacaftor (VX-661) / ivacaftor (VX-770)) was successfully developed. However, in CF airway epithelial cells the calcium homeostasis is also disturbed; it is observed an increased calcium mobilization in CF cells compared to non-CF cells.

View Article and Find Full Text PDF

Introduction: Individuals with tuberous sclerosis complex (TSC) often present with refractory epilepsy and may be undergoing treatment with vagus nerve stimulation (VNS) to control seizures. Surveillance magnetic resonance imaging (MRI) is necessary to monitor for the renal angiomyolipomas associated with TSC; however, MRI of the abdomen is not approved for patients withVNS therapy. We have many TSC patients with refractory epilelpsy who benefitted from VNS therapy, so we developed an MRI protocol that allows MRI of the abdomen to be performed in these patients to permit safe imaging of their kidneys.

View Article and Find Full Text PDF
Article Synopsis
  • Lung cancer is a leading cause of cancer-related deaths, and France currently lacks a national screening program for it.
  • The Foch Hospital launched a pilot program for low-dose CT screening to assess its effectiveness, targeting individuals aged 50-80 with significant smoking histories.
  • Out of 477 participants, a small percentage (1.7%) showed positive nodules on scans, with the majority of detected cancers (66.7%) found at early stages, indicating the feasibility of structured screening in identifying treatable cases.
View Article and Find Full Text PDF

California's diverse geography and meteorological conditions necessitate models capturing fine-grained patterns of air pollution distribution. This study presents the development of high-resolution (100 m) daily land use regression (LUR) models spanning 1989-2021 for nitrogen dioxide (NO), fine particulate matter (PM), and ozone (O) across California. These machine learning LUR algorithms integrated comprehensive data sources, including traffic, land use, land cover, meteorological conditions, vegetation dynamics, and satellite data.

View Article and Find Full Text PDF