Dear colleagues,
Title: Data- and Theory-Driven Approaches in Personalized Brain Medicine: from Diagnosis to Treatment (DECIDE)
Scope: Deciding the right diagnosis, the best treatment and predicting the evolution of the disease is of paramount importance in personalized medicine. Diseases are dynamic and very heterogeneous. Etiologies are complex and often several hypotheses
are needed to explain their pathogenesis. This is because studies carried out isolate the effects of a single mechanism and not the interaction of many mechanisms. This leads to a set of conflicting results difficult to interpret. Data-driven (ML/DL) and theory
driven (Dynamical models) approaches dealing with diverse data are increasingly used in medicine. Bridging the gap between data- and theory-driven approaches is the central theme of the special session. Real progress in personalized medicine can only be made
via such cross-disciplinary interactions.
Topics of interest
Topics of interest include, but are not limited to:
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Computational/mathematical models of drug and stimulation treatments and therapies
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Data processing, image and signal reconstruction and enhancement and cross-modality synthesis
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Development of a culture of mathematical and computational modelling of brain diseases that will benefit those in clinical practice
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Extraction of biomarkers from ‘omics’, signal and imaging data
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Machine learning algorithms for prediction of disease evolution
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Machine learning algorithms in disease detection and diagnosis
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Multi-scale, multi-level models of disease understanding
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Translation research on the dynamics of diseases into treatments for age related illnesses
Important Dates
Paper Submission: December 18, 2024
Authors Notification: January 14, 2025
Camera Ready and Registration: January 22, 2025
Publications
Kind regards,
Vassilis
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Dr Vassilis Cutsuridis
Associate Professor in Computer Science
School of Engineering, Computing and Mathematics
University of Plymouth, Drake Circus, Plymouth, UK, PL4 8AA
Email: vassilis.cutsuridis@plymouth.ac.uk
Web: https://www.plymouth.ac.uk/staff/vassilis-cutsuridis
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