The Utility of Information Theory Based Methods in the Research of Aging and Longevity

David Blokh, Joseph Gitarts, Eliyahu H. Mizrahi, Nadya Kagansky, Ilia Stambler

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This work surveys some diagnostic applications of information theoryInformation theory based identification methods. It emphasizes the advantages of information-theoretical methodology over other identification methods, such as the heuristic methods of deep learningDeep Learning and neural networks. It exemplifies the utility of information-theoretical methodology with examples of several original applications: establishing physiologically meaningful thresholds, predicting risks for individual age-related diseasesAge-related diseases and multimorbidityMultimorbidity, and evaluating the structuredness of gene nucleotide sequences. We believe, in the future, the theoretically grounded information-theoretical methodology will assume an ever-increasing role in the studies of agingAging and longevityLongevity and their practical clinical applications. With increasing awareness and wider application of the unique capabilities of information-theoretical methodology, it may become a common assistive tool for data analysis and decision making by researchers and clinicians.
Original languageEnglish
Title of host publicationArtificial Intelligence for Healthy Longevity
EditorsAlexey Moskalev, Ilia Stambler, Alex Zhavoronkov
Place of PublicationCham
PublisherSpringer International Publishing
Number of pages30
ISBN (Print)978-3-031-35176-1
StatePublished - 2023


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