Publications by authors named "G Frans"
Background: Type 1 regulatory T (Tr1) cells are critical players in maintaining peripheral tolerance, by producing high IL-10 levels in association with inducible T-cell co-stimulator (ICOS) expression. Whether these cells play a role in naturally acquired baked egg tolerance is unknown.
Objectives: Evaluate frequencies of egg-responsive Tr1 and Th2 cells in egg-allergic children that naturally acquired baked egg tolerance (BET) versus non-egg-allergic (NEA) children.
Background: As the healthcare sector evolves, Artificial Intelligence's (AI's) potential to enhance laboratory medicine is increasingly recognized. However, the adoption rates and attitudes towards AI across European laboratories have not been comprehensively analyzed. This study aims to fill this gap by surveying European laboratory professionals to assess their current use of AI, the digital infrastructure available, and their attitudes towards future implementations.
View Article and Find Full Text PDFAlkaptonuria is characterized by the accumulation of homogentisic acid which causes dark coloration of urine upon standing, ochronosis, and arthritis. A 4-year old child was referred to our pediatric nephrologist with hyperoxaluria and a history of unexplained pink-to-brown discolouration of his diapers associated with a brown-staining of clothes and skin since he was six months old. He had no other symptoms and his past medical history only included minor child illnesses.
View Article and Find Full Text PDFArticle Synopsis
- This study investigates how human serum albumin (HSA) levels affect drug distribution in neonates, aiming to establish trends in HSA over time and create a predictive model for HSA concentrations.
- A total of 848 neonates were analyzed, revealing that HSA concentrations increase with postnatal age and gestational age, and several factors like birth weight and bilirubin levels significantly influence these concentrations.
- The resulting prediction model demonstrated a high performance with an accuracy of 76.3%, providing valuable HSA centiles and insights that could improve clinical care and pharmacotherapy for neonatal patients.
Article Synopsis
- Clinical labs have gotten way better at using tech to manage and share medical data, thanks to advanced systems and software.
- Although Laboratory Information Systems (LIS) have improved since the 1970s, they still struggle to handle all the extra information produced during testing.
- The paper suggests splitting this information into two types—metadata (which describes data) and peridata (which helps understand test results)—to make it easier to use and improve healthcare technology.