Isabelle Bichindaritz on Artificial Intelligence Models

(Newswire.net — January 26, 2016) Huntington Beach, CA — Isabelle Bichindaritz recently highlighted the benefits of distributed artificial intelligence models in the field of bioinformatics. Used primarily for knowledge discovery and information analysis, these models could pave the way for the most significant developments in healthcare and medicine over the next several years.

Bichindaritz has had an extensive career in biology, medicine, and academics, with research work that encompasses a wide variety of fields. Currently an assistant professor at State University of New York in Oswego, Bichindaritz is focused primarily on research into intelligent learning systems as they pertain to biology and medicine. Her work in this area deals specifically with case-based reasoning and data mining, and the biomedical applications of artificial intelligence. Bichindaritz was formerly an assistant professor at the University of Washington, Institute of Technology, Computing and Software Systems, where she was head of the Laboratory of Informatics and Artificial Intelligence. She earned her Ph.D. in Computer Science from the Université René Descartes – Paris V. Learn more on Bichindaritz’s studies: https://www.researchgate.net/profile/Isabelle_Bichindaritz.

Bichindaritz is especially emphatic about the significance of distributed artificial intelligence models in light of the increasing volume of available information on biological processes and the shift toward large database use. These developments have played a significant role in increasing data accessibility in the scientific community. Along with the emergence of new and adapted distributed computing models such as grid and cloud computing, they have made it possible for researchers to perform more efficient analysis of information. More exciting still, these emerging new technologies have resulted in the development of adaptive systems with actual learning capability.

Distributed artificial intelligence models are particularly beneficial for knowledge discovery purposes in the various fields of bioinformatics. In this regard, a number of especially interesting proposals are presented, involving fields such as bladder cancer research, computational cost reduction, studies on how environmental conditions can affect evolution, determining the most optimum disease targets, extracting gene knockouts with the goal of maximizing the production of desired metabolites, and preventing potentially dangerous situations by analyzing deviations in the behavior patterns of elderly people.

Distributed artificial intelligence models are also proposed as feasible tools in describing interactions among molecules with the goal of analyzing the effects of different factors in simulations, and monitoring the parameters of users equipped with biomedical sensors. The technology also holds promise with regard to modeling the longevity of dental restorations by way of a case based reasoning (CBR) system, which will allow for the analysis of dental restorations with different materials. 

Read more on Dr. Bichindaritz here.

About:

Isabelle Bichindaritz is the author of more than 100 scientific papers, and the editor and co-editor of several other scientific journals special issues. Her work includes Artificial Intelligence in Medicine journal special issues, Computational Intelligence special issues, and an Applied Intelligence special issue on Case-based Reasoning in the Life Sciences. She is currently an assistant professor at State University of New York. You can see a complete list of her computer science contributions here.