patient stratification
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From epigenetics to stratified therapies in neuropsychiatric diseases
The establishment of effective therapies for neurodegenerative and neuropsychiatric diseases is still challenging and one of the reasons is that especially for age-associated neurodegenerative diseases pathology accumulates long before there are any clinical signs of disease. Thus, patients are often only diagnosed at an already advanced state of molecular pathology, when causative therapies fail. Thus, there is an urgent need for molecular biomarkers that could detect individuals at risk for developing a CNS disease and stratify patients. I will address epigenetic processes such as histone-modifications and non-coding RNAs as potential approaches for patient stratification and therapeutic interaction, with a specific focus on RNA-therapies. Here, I plan to cover examples from our recent research on Alzheimer’s disease and Schizophrenia.
AI-guided solutions for early detection of neurodegenerative disorders
Despite the importance of early diagnosis of dementia for prognosis and personalised interventions, we still lack robust tools for predicting individual progression to dementia. We propose a trajectory modelling approach that mines multimodal data from patients at early dementia stages to derive individualised prognostic scores of cognitive decline Our approach has potential to facilitate effective stratification of individuals based on prognostic disease trajectories, reducing patient misclassification with important implications for clinical practice.
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