2004 | OriginalPaper | Buchkapitel
Biomedical Artificial Intelligence
verfasst von : Richard Lathrop
Erschienen in: PRICAI 2004: Trends in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This talk will survey the intriguing connections between artificial intelligence and its biomedical application domain. Biology has recently become a data- rich, information hungry science because of recent massive data generation technologies, but we cannot fully analyse this data due to the wealth and complexity of the information available. The result is a great need for intelligent systems in biology. We will visit examples such as machine learning for pharmaceutical drug discovery, optimal heuristic search for protein structure prediction, rule-based systems for drug-resistant HIV treatment, constraint- based design of large self-assembling synthetic genes, and a multiple- representation approach to curing some forms of cancer. The talk will conclude with suggestions for how AI practitioners can begin the explore this rich and fascinating domain.