Publications by authors named "Sarah Meribout"
BACKGROUND Small bowel transplantation (SBT) is a rare but life-saving surgery. However, successful full-term pregnancies in individuals with SBT are exceedingly rare due to the nutritional and immunosuppression challenges this transplant poses for pregnancy. Therefore, clear guidelines for treating pregnant SBT recipients are unavailable.
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- * Research over the past 20 years shows that the MGBA significantly affects various neurological diseases, including Alzheimer's, autism, ADHD, and others.
- * Understanding the MGBA can lead to new microbial-based treatments for these neurological conditions, as factors like diet, exercise, and medication can impact this communication pathway.
Background: Genetic and epigenetic changes, oxidative stress and inflammation influence the rate of aging, which diseases, lifestyle and environmental factors can further accelerate. In accelerated aging (AA), the biological age exceeds the chronological age.
Objective: The objective of this study is to reappraise the AA concept critically, considering its weaknesses and limitations.
A high incidence and prevalence of neurodegenerative diseases and neurodevelopmental disorders justify the necessity of well-defined criteria for diagnosing these pathologies from brain imaging findings. No easy-to-apply quantitative markers of abnormal brain development and ageing are available. We aim to find the characteristic features of non-pathological development and degeneration in distinct brain structures and to work out a precise descriptive model of brain morphometry in age groups.
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- * This systematic review will assess studies from various databases to evaluate diagnostic methods' predictive capabilities, analyzing metrics for classification and regression models related to disease progression and disability scores.
- * No ethical approval is necessary for this study, as it involves publicly available literature, and the results will be published in an academic context to share findings with the medical community.
Background: The combined analysis of imaging and functional modalities is supposed to improve diagnostics of neurodegenerative diseases with advanced data science techniques.
Objective: To get an insight into normal and accelerated brain aging by developing the machine learning models that predict individual performance in neuropsychological and cognitive tests from brain MRI. With these models we endeavor to look for patterns of brain structure-function association (SFA) indicative of mild cognitive impairment (MCI) and Alzheimer's dementia.