Book chapter
Opportunities and Challenges in Applying Artificial Intelligence to Bioengineering
Automated Reasoning for Systems Biology and Medicine , pp.425-452
Computational Biology Series, v. 30, Springer Nature
2019
DOI: 10.1007/978-3-030-17297-8_16
Abstract
Our capability to engineer biological systems is increasing rapidly in both speed and scale, leading to explosive growth in the complexity of bioengineering projects that can be contemplated. Artificial intelligence techniques have helped to tame such complexity in many other fields, and are beginning to be employed in the same way to the engineering of biological organisms. Using these techniques, computers represent, acquire, and employ domain knowledge to automate "more routine" processes and allow humans to instead focus more on deeper issues of science and engineering. At the same time, applying more sophisticated techniques such as these imposes new demands on biological systems experimentation, particularly with respect to representation and curation of data. This chapter surveys the current state of the art in applying artificial intelligence to bioengineering, as well as discussing opportunities and challenges for the future.
Details
- Title: Subtitle
- Opportunities and Challenges in Applying Artificial Intelligence to Bioengineering
- Creators
- Fusun Yaman - RTXAaron Adler - RTXJacob Beal - RTX
- Contributors
- P Lio (Editor)P Zuliani (Editor)
- Resource Type
- Book chapter
- Publication Details
- Automated Reasoning for Systems Biology and Medicine , pp.425-452
- Publisher
- Springer Nature
- Series
- Computational Biology Series; v. 30
- DOI
- 10.1007/978-3-030-17297-8_16
- ISSN
- 1568-2684
- eISSN
- 2662-2432
- Number of pages
- 28
- Language
- English
- Date published
- 2019
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984637885902771
Metrics
1 Record Views