Artificial intelligence and robotics in high throughput post-genomics

Laghaee, Aroosha, Malcolm, Chris, Hallam, John and Ghazal, Peter ORCID: https://orcid.org/0000-0003-0035-2228 2005. Artificial intelligence and robotics in high throughput post-genomics. Drug Discovery Today 10 (18) , pp. 1253-1259. 10.1016/S1359-6446(05)03581-6

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Abstract

The shift of post-genomics towards a systems approach has offered an ever-increasing role for artificial intelligence (AI) and robotics. Many disciplines (e.g. engineering, robotics, computer science) bear on the problem of automating the different stages involved in post-genomic research with a view to developing quality assured high-dimensional data. We review some of the latest contributions of AI and robotics to this end and note the limitations arising from the current independent, exploratory way in which specific solutions are being presented for specific problems without regard to how these could be eventually integrated into one comprehensible integrated intelligent system

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Publisher:	Elsevier
ISSN:	1359-6446
Last Modified:	23 Oct 2022 14:20
URI:	https://orca.cardiff.ac.uk/id/eprint/113405

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