Background: Despite calls for the use of real-world data, the rare diseases (RD) treatment landscape suffers from a scarcity of data referred to orphan medicinal products (OMP) use at the population level.Objectives: We aim to describe the characteristics and patterns of utilization of OMP in a sizable group of RD patients globally monitored by an
Abstract Although culture-based identification of bacteria is the gold-standard for the diagnosis of infectious diseases, it is time consuming.Recent advances in molecular diagnostics and microfluidic technologies have opened up new avenues for rapid detection of bacteria.Here, we describe a centrifugal-microfluidic chip for the detection of bacter
Protected area designation aims to protect forests from illegal activities such as hunting.However, the effectiveness of protection and how this changes over time in response to protection measures is difficult to assess, including the design of monitoring programmes able to detect changes.We present new data on rule-breaking prevalence in Gola Rai
INTRODUCTION: Because there is more than one hidden layer between the input and output layers in the neural network algorithm, it is called "Deep Neural Networks".In the study, the Deep Neural Networks algorithm; different input (number of layers, epoch, error rate) and evaluation of the performance of the model being practised an application is in
Background/Aims: Fetal metabolism may be changed by the exposure to maternal factors, and the route to obesity may already set in utero.Cord blood metabolites might predict growth patterns and later obesity.We aimed to characterize associations of cord blood with birth weight, postnatal weight gain, and BMI in adolescence.Methods: Over 700 cord blo