Research output per year
Research output per year
Project Details
Layman's description
A diagnostic toolkit has been developed by Dr Smith's lab which provides straightforward, objective measures to identify neurodegenerative disease type, and to quantify disease progression and which would allow appropriate treatment to be administered at an earlier stage. Funding will be used to help transition the technology from proof-of-concept stage, to a point where it is ready to use in patient evaluation. This will allow the clinicians to extend their current validation of the technology and to trial its use within routine clinical practice. A preliminary market assessment for the technology undertaken in 2010 estimated the market potential for technology in the seven major markets is a maximum of £1.9 billion/year, growing to £4 billion/year by 2050.
Key findings
FINDINGS/RESULTS
Evolutionary algorithms can be used to diagnose, differentiate and monitor patients with Parkinson's disease with greater confidence than has previously been possible.
Findings have been presented at a number of international conferences and published in leading journals.
Dr Smith has been invited to present his work as a Tutorial at the IEEE's Congress on Evolutionary Computation 2013 to be held in Cancún.
Dr Smith has also been awarded a Royal Academy of Engineering Enterprise Fellowship to commercialise the technology developed as a results of this work.
Dr Smith has been invited to present his work as a Tutorial at the Genetic and Evolutionary Computing Conference 2014 to be held in Vancouver.
COLLABORATIONS
Dr Abubaker Al Madani,
Consultant Neurologist and Head of Department of Neurology, Rashid hospital, Dubai.
Equipment was deployed in May 2013 to measure Parkinson's patients with and without dementia.
Dr Peter Kempster and Dr Sanjay Raghav
Consultant Neurologists, Monash Medical Centre. Melbourne, Australia
Equipment was deployed in May 2013 to study tremor and bradykinesia in Parkinson's patients.
Dr Au Wing Lok
Consultant Neurologist and Head of Department of Neurology, National Neuroscience Institute, Singapore.
Equipment to be deployed in March 2014 to measure Parkinson's patients with and without dementia.
STAFF
Two postdoctoral researchers were employed for three months to undertake this project work. Dr Michael Lones has subsequently been awarded a 12 month temporary lectureship to continue this research and cover Dr Smith's teaching duties whilst he undertakes a Royal Academy of Engineering Enterprise Fellowship.
COMMERCIALISATION/TRANSLATION
A University spin-out company ClearSky Medical Diagnostics is expected to be incorporated within the month. The company will market four products that provide consultants with an objective assessment of symptoms to diagnose, differentiation and monitor a range of neurodegenerative conditions including Parkinson's disease and Alzheimer's disease.
APPLICATIONS
Applicant: Dr Stephen L. Smith
Funder: EPSRC
Amount: £817,424
Title: Computational Dynamical Systems for Diagnosing, Monitoring and Understanding Neurodegenerative Diseases
Start date: 1/12/14
Duration: 48 months (submitted)
PI: Prof. Jim Austin
CI: Dr Stephen Smith
Funder: Technology Strategy Board
Title: Technology Enhanced Diagnosis and Monitoring of Parkinson's Disease
Amount: £810,000
pFACT: 14757 (Rejected)
PI: Dr Stephen Smith
Funder: ClearSky Medical Diagnostics - Health Economic assessment for monitoring the side-effects of Parkinson's medication and informing treatment.
Amount: £7,200
Start 02/2014 (Awarded)
PI: Dr Stephen Smith
Funder: Technology Strategy Board
Title: Continuous monitoring of Parkinson’s disease patients – effective medication, reduced costs and improved quality of life
Amount: £81,625
Start 05/2014 (Rejected)
ARTICLES accepted
Authors: Michael Lones; Jane Alty; Stuart Lacy; Phillipa Duggan-Carter; Andrew Turner; Jeremy Cosgrove; Stuart Jamieson; Stephen L Smith
Title: Classification and Characterisation of Movement Patterns During Levodopa Therapy for Parkinson’s Disease
Conference: Workshop on Medical Applications of Genetic and Evolutionary Computation, GECCO July 2014, Vancouver
Evolutionary algorithms can be used to diagnose, differentiate and monitor patients with Parkinson's disease with greater confidence than has previously been possible.
Findings have been presented at a number of international conferences and published in leading journals.
Dr Smith has been invited to present his work as a Tutorial at the IEEE's Congress on Evolutionary Computation 2013 to be held in Cancún.
Dr Smith has also been awarded a Royal Academy of Engineering Enterprise Fellowship to commercialise the technology developed as a results of this work.
Dr Smith has been invited to present his work as a Tutorial at the Genetic and Evolutionary Computing Conference 2014 to be held in Vancouver.
COLLABORATIONS
Dr Abubaker Al Madani,
Consultant Neurologist and Head of Department of Neurology, Rashid hospital, Dubai.
Equipment was deployed in May 2013 to measure Parkinson's patients with and without dementia.
Dr Peter Kempster and Dr Sanjay Raghav
Consultant Neurologists, Monash Medical Centre. Melbourne, Australia
Equipment was deployed in May 2013 to study tremor and bradykinesia in Parkinson's patients.
Dr Au Wing Lok
Consultant Neurologist and Head of Department of Neurology, National Neuroscience Institute, Singapore.
Equipment to be deployed in March 2014 to measure Parkinson's patients with and without dementia.
STAFF
Two postdoctoral researchers were employed for three months to undertake this project work. Dr Michael Lones has subsequently been awarded a 12 month temporary lectureship to continue this research and cover Dr Smith's teaching duties whilst he undertakes a Royal Academy of Engineering Enterprise Fellowship.
COMMERCIALISATION/TRANSLATION
A University spin-out company ClearSky Medical Diagnostics is expected to be incorporated within the month. The company will market four products that provide consultants with an objective assessment of symptoms to diagnose, differentiation and monitor a range of neurodegenerative conditions including Parkinson's disease and Alzheimer's disease.
APPLICATIONS
Applicant: Dr Stephen L. Smith
Funder: EPSRC
Amount: £817,424
Title: Computational Dynamical Systems for Diagnosing, Monitoring and Understanding Neurodegenerative Diseases
Start date: 1/12/14
Duration: 48 months (submitted)
PI: Prof. Jim Austin
CI: Dr Stephen Smith
Funder: Technology Strategy Board
Title: Technology Enhanced Diagnosis and Monitoring of Parkinson's Disease
Amount: £810,000
pFACT: 14757 (Rejected)
PI: Dr Stephen Smith
Funder: ClearSky Medical Diagnostics - Health Economic assessment for monitoring the side-effects of Parkinson's medication and informing treatment.
Amount: £7,200
Start 02/2014 (Awarded)
PI: Dr Stephen Smith
Funder: Technology Strategy Board
Title: Continuous monitoring of Parkinson’s disease patients – effective medication, reduced costs and improved quality of life
Amount: £81,625
Start 05/2014 (Rejected)
ARTICLES accepted
Authors: Michael Lones; Jane Alty; Stuart Lacy; Phillipa Duggan-Carter; Andrew Turner; Jeremy Cosgrove; Stuart Jamieson; Stephen L Smith
Title: Classification and Characterisation of Movement Patterns During Levodopa Therapy for Parkinson’s Disease
Conference: Workshop on Medical Applications of Genetic and Evolutionary Computation, GECCO July 2014, Vancouver
| Status | Finished |
|---|---|
| Effective start/end date | 1/07/12 → 31/03/13 |
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Evolving classifiers to recognize the movement characteristics of Parkinson’s Disease patients
Lones, M. A., Smith, S. L., Alty, J. E., Lacy, S., Possin, K., Jamieson, S. & Tyrrell, A., Aug 2014, In: IEEE Transactions on Evolutionary Computation. 18, 4, p. 559-576 18 p.Research output: Contribution to journal › Article › peer-review
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Characterisation of Movement Disorder in Parkinson's Disease using Evolutionary Algorithms
Lacy, S., Lones, M. A., Smith, S. L., Alty, J. E., Jamieson, S., Possin, K. & Schuff, N., Jul 2013, Proceedings of the 2013 Genetic and Evolutionary Computation Conference (GECCO). Blum, C. & Alba, E. (eds.). ACM, p. 1479-1486Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Characterising neurological time series data using biologically motivated networks of coupled discrete maps
Lones, M. A., Smith, S. L., Tyrrell, A. M., Alty, J. E. & Jamieson, D. R. S., May 2013, In: Biosystems. 112, 2, p. 94-101 8 p.Research output: Contribution to journal › Article › peer-review