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Identification of ion channel dysfunction in epilepsy with machine learning

Project Code

MRCNMH25Ba Nogaret

Research Theme

Neuroscience and Mental Health

Project Summary Download

Summary

Ion channel mutations are increasingly recognised as an early prognosis for neurological disease.  The identification of dysfunctional ion channels is currently hindered by the lack of quantitative method that can relate functional changes at the cell level to alterations occurring across the complement of ion channels of a cell..  This project will use an machine learning to infer ion channel dysfunction from electrophysiological recordings of fly neurons genetically modified to express epilepsy. Linking anomalous electrical activity to channelopathies will allow new pharmacological targets to be discovered and will evaluate our machine learning approach as a drug toxicity counter-screen.

Lead Supervisor

Professor Alain Nogaret

Lead Supervisor Email

A.R.Nogaret@bath.ac.uk

University Affiliation

Bath