Publications by authors named "E W C M van Dam"
Article Synopsis
- In a study on phenylketonuria (PKU), data from 1323 patients across nine European and Turkish centers revealed that natural protein intake rises with age, especially during childhood and adolescence, while lifelong phenylalanine tolerance remains unclear.
- The research collected dietary intake information from 2012 to 2018, showing varying tolerances among different PKU classifications, with patients having mild PKU tolerating about 50% more phenylalanine than those with classical PKU.
- Additionally, the study highlighted that natural protein intake significantly increased for patients using sapropterin, with notable geographical differences in protein tolerance observed between Southern and Northern Europe.
This study aims to assess the sensitivity of epicardial potential-based electrocardiographic imaging (ECGI) to the removal or interpolation of bad leads.We utilized experimental data from two distinct centers. Langendorff-perfused pig (= 2) and dog (= 2) hearts were suspended in a human torso-shaped tank and paced from the ventricles.
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- A 2011 survey indicated that blood phenylalanine (Phe) control in patients with phenylketonuria (PKU) worsens with age, leading to new European PKU guidelines for blood Phe levels in 2017.
- The study involved nine centers across Europe and Turkey, collecting data from 1323 patients with varying PKU severity to evaluate blood Phe control from 2012 to 2018.
- Results showed that younger patients had better blood Phe control, with classical PKU patients having significantly higher mean blood Phe levels compared to mild PKU and hyperphenylalaninemia (HPA) patients, while female patients generally had a higher percentage of
In phenylketonuria (PKU), natural protein tolerance is defined as the maximum natural protein intake maintaining a blood phenylalanine (Phe) concentration within a target therapeutic range. Tolerance is affected by several factors, and it may differ throughout a person's lifespan. Data on lifelong Phe/natural protein tolerance are limited and mostly reported in studies with low subject numbers.
View Article and Find Full Text PDFAutomated observation and analysis of behavior is important to facilitate progress in many fields of science. Recent developments in deep learning have enabled progress in object detection and tracking, but rodent behavior recognition struggles to exceed 75-80% accuracy for ethologically relevant behaviors. We investigate the main reasons why and distinguish three aspects of behavior dynamics that are difficult to automate.
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