Kwan group
Epilepsy and Personalised Medicine
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The Kwan Group undertakes highly multidisciplinary translational research that covers a broad spectrum of areas in relation to epilepsy. We are interested in improving treatment outcomes by changing the conventional ‘one-size-fits-all’ approach used in managing epilepsy to a more individualised, personalised paradigm.
We are committed to promoting the translation of research findings into clinical practice through engaging consumers and clinicians widely in our research, and understanding the economic, ethical and legal ramifications of therapeutic interventions.
Our work
Our group’s translational research covers a broad spectrum of areas in relation to epilepsy - ranging from basic discovery to clinical implementation. We use innovative approaches to achieve our goal - pharmacogenomics, stem cells models, point of care diagnostic tools and machine learning models (including genetic, EEG, ECG, video and neuroimaging data) to identify new approaches to improve the outcomes and even prevent the development of epilepsy.
Our work focuses on five major research themes
Genomics and Medical Technology in Epilepsy
Genetic variants can cause epilepsy, as well as how patients respond to drug treatment. Our study focuses on the genetic variants in a cohort of patients with epilepsy and explores the genetic basis for adverse drug reactions. We also focus on the development of medical technology, including wearables, mobile apps, and other digital tools to improve patient outcomes and overall health and wellness. Find out more
Stem Cells for Drug Discovery and Regenerative Therapy
Our group utilises advances in cell biology to generate stem cells from patients to use for drug discovery. In particular, to test efficiency and response to existing anti-seizure medications, screen and identify compounds with anti-seizure properties that could potentially lead to the development of new anti-epileptic medications. Find out more
Outcomes and Artificial Intelligence (AI)
Machine learning model can be applied across a number of different datasets to help recognise the patterns of epilepsy and predict effective anti-seizure medication. Find out more
Computational Neuroscience
Computational neuroscience uses mathematical and computational models to understand brain function and dysfunction across spatial and temporal scales. We integrate brain imaging and electrophysiological data (EEG, SEEG) to identify mechanisms that underpin brain network connectivity and seizure generation. Find out more
Integrated Biosensing for Neurodiagnostics
By combining advanced nanomaterials with innovative fabrication techniques and integrating these sensors with portable electronic systems, our work aims to translate cutting edge science into practical tools for wearable monitoring and point of care (POCT) testing, enhancing diagnostic and sustainability across diverse settings. Find out more
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Our people
Meet the team who drive our research.
Publications
Explore our publication highlights.
Our news and media highlights
Additional Kwan Group news and media articles can be found here.
Contact us
Whether you want to be involved in our research, study with us, collaborate with us or donate to our work, we would be delighted to hear from you.
Email us – kwangroup@monash.edu