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11 - Computer Science and Informatics

Heriot-Watt University

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Output 9 of 91 in the submission

Article title

Artificial biochemical networks: Evolving dynamical systems to control dynamical systems

Type

D - Journal article

DOI

10.1109/TEVC.2013.2243732

Title of journal

IEEE Transactions on Evolutionary Computation

Article number

Volume number

n/a

Issue number

n/a

First page of article

ISSN of journal

1089-778X

Year of publication

2013

URL

Number of additional authors

Additional information

<22>This paper is one of the main outputs from the EPSRC 'AlBiNo' Project (EP/F060041/1, 2010-13, Artificial Biochemical Networks (ABNs): Computational Models and Architectures), in which Lones was the principal research associate. Subsequent applications include work with clinicians at Leeds General Infirmary and UCSF Medical Center (Lones et al., IEEE Trans. Ev. Comp., 10.1109/TEVC.2013.2281532) showing that ABNs contribute to significantly more accurate diagnoses for Parkinson's disease. This has been used in technology, protected by patent application, to monitor the side-effects of medication for Parkinson’s disease (PCT/GB13/051888) and assist diagnosis of Alzheimer’s disease (PCT/GB13/051889)."

Interdisciplinary

Cross-referral requested

Research group

A - Intelligent Systems

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract