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2 - Artificial Intelligence Approaches to No-Boundary Thinking

Published online by Cambridge University Press:  14 September 2023

By
Jason H. Moore
Edited by
Xiuzhen Huang ,
Jason H. Moore  and
Yu Zhang
Xiuzhen Huang
Affiliation:
Cedars-Sinai Medical Center, Los Angeles
Jason H. Moore
Affiliation:
Cedars-Sinai Medical Center, Los Angeles
Yu Zhang
Affiliation:
Trinity University, Texas
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Summary

The goal of this chapter is to explore and review the role of artificial intelligence (AI) in scientific discovery from data. Specifically, we present AI as a useful tool for advancing a No-Boundary Thinking (NBT) approach to bioinformatics and biomedical informatics. NBT is an agnostic methodology for scientific discovery and education that accesses, integrates, and synthesizes data, information, and knowledge from all disciplines to define important problems, leading to innovative and significant questions that can subsequently be addressed by individuals or collaborative teams with diverse expertise. Given this definition, AI is uniquely poised to advance NBT as it has the potential to employ data science for discovery by using information and knowledge from multiple disciplines. We present three recent AI approaches to data analysis that each contribute to a foundation for an NBT research strategy by either incorporating expert knowledge, automating machine learning, or both. We end with a vision for fully automating the discovery process while embracing NBT.

Keywords

artificial intelligencemachine learningdata sciencedata analyticsNo-Boundary Thinkingautomated machine learninggenetic programming
Type
Chapter
Information
Integrative Bioinformatics for Biomedical Big Data
A No-Boundary Thinking Approach
 , pp. 5 - 24
Publisher: Cambridge University Press
Print publication year: 2023

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