Harnessing AI and Genomics to Accelerate Drug Discovery
Amir Feizi () and
Jahir M. Gutierrez ()
Additional contact information
Amir Feizi: OMass Therapeutics
Jahir M. Gutierrez: Absci Corporation
A chapter in The Future Circle of Healthcare, 2022, pp 89-106 from Springer
Abstract:
Abstract Drug development is a laborious and increasingly costly process with an arguably minuscule success rate. Identifying the right target and designing an effective drug candidate are regarded as the most critical steps needed to increase the probability of success of any drug development program. The advent of large-scale genomics datasets and powerful AI algorithms is moving toward addressing these challenges at an unprecedented speed. This chapter will discuss and review recent examples of using AI and genomics to accelerate important aspects of early-stage phases in drug discovery.
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-030-99838-7_5
Ordering information: This item can be ordered from
http://www.springer.com/9783030998387
DOI: 10.1007/978-3-030-99838-7_5
Access Statistics for this chapter
More chapters in Future of Business and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().