Biomedical artificial intelligence

Abstract

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. © Springer-Verlag Berlin Heidelberg 2004.