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Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Converging Frontiers: The Intersection of CRISPR Technology, Quantum Computing, and Artificial Intelligence in Next-Generation Biomedical Innovation

Authors: Troublefield, Troy;

Converging Frontiers: The Intersection of CRISPR Technology, Quantum Computing, and Artificial Intelligence in Next-Generation Biomedical Innovation

Abstract

The convergence of CRISPR gene-editing technology with quantum computing and artificial intelligence represents a paradigm shift in biomedical innovation. This interdisciplinary synthesis addresses current limitations in genomic analysis, off-target prediction, protein folding simulations, and gene therapy design through unprecedented computational power and modeling sophistication. As CRISPR transforms our ability to manipulate genetic material with precision, quantum AI offers solutions to overcome bottlenecks in speed, accuracy, and complexity management. This article explores the emerging synergies between these technologies, examining their potential to unlock breakthroughs in personalized medicine, disease eradication, biosecurity, and synthetic biology. Through comprehensive analysis of current capabilities, implementation challenges, and future directions, we present a roadmap for responsible innovation at the intersection of quantum computing, artificial intelligence, and genome editing.

Keywords

gene editing, CRISPR, personalized medicine, artificial intelligence, quantum computing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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