Harnessing CRISPR-Cas9 Gene-Editing Technology in Cancer Research: Challenges and Opportunities from an MI Analyst's Perspective

This article explores the challenges and opportunities of CRISPR-Cas9 gene-editing technology in cancer research from the perspective of a Management Information analyst. It examines key scientific and technical barriers such as delivery methods, off-target effects, and tumor microenvironment complexity that currently restrict the clinical application of CRISPR in oncology. The article integrates data-driven insights to emphasize how advanced analytics and robust data strategies can aid in overcoming these challenges. Future directions include interdisciplinary collaboration and innovation in delivery systems, predictive modeling, and multi-modal therapeutic integration. This work contributes an analytic viewpoint bridging data science and biomedical research to advance precision oncology.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-09
DOI
https://doi.org/10.5281/zenodo.17306791
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
Field-Weighted Citation Impact
0.00
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article

Harnessing CRISPR-Cas9 Gene-Editing Technology in Cancer Research: Challenges and Opportunities from an MI Analyst's Perspective

Zenodo (CERN European Organization for Nuclear Research)
Vaccine Coverage and Hesitancy
article

Harnessing CRISPR-Cas9 Gene-Editing Technology in Cancer Research: Challenges and Opportunities from an MI Analyst's Perspective

article en

Abstract

This article explores the challenges and opportunities of CRISPR-Cas9 gene-editing technology in cancer research from the perspective of a Management Information analyst. It examines key scientific and technical barriers such as delivery methods, off-target effects, and tumor microenvironment complexity that currently restrict the clinical application of CRISPR in oncology. The article integrates data-driven insights to emphasize how advanced analytics and robust data strategies can aid in overcoming these challenges. Future directions include interdisciplinary collaboration and innovation in delivery systems, predictive modeling, and multi-modal therapeutic integration. This work contributes an analytic viewpoint bridging data science and biomedical research to advance precision oncology.

Zenodo (CERN European Organization for Nuclear Research)
Preston University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 39%
Vaccine Coverage and Hesitancy
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