HOW DOES GENE EDITING TECHNOLOGY RESHAPE THE THEORETICAL COGNITIVE FRAMEWORK OF DISEASE MECHANISMS
DOI:
https://doi.org/10.64038/cel.02202542Keywords:
Gene Editing, CRISPR/Cas9, Disease Mechanisms, Cognitive Frameworks, Base Editing, Genome Engineering, Phenotypic Outcomes, Biomedical Epistemology, Molecular Therapeutics, Ethical Genomics, Systems Biology, Precision Medicine, Theoretical Reframing, Genetic Intervention, Clinical GenomicsAbstract
Gene-editing technologies such as CRISPR/Cas9, base editing, and prime editing have revolutionized the biomedical landscape by enabling precise, targeted alterations to the genome. However, beyond their biological utility, these technologies are also reshaping the theoretical cognitive frameworks through which disease mechanisms are conceptualized. This study employs a mixed-method experimental design to investigate how gene-editing interventions affect both molecular outcomes and the epistemological understanding of disease. Quantitative data derived from gene expression assays, editing efficiency measurements, and phenotypic observations were complemented by qualitative insights from expert interviews and clinician surveys. The results reveal that successful gene edits not only produce measurable biological effects—such as increased expression accuracy and phenotype improvement—but also prompt a paradigm shift in the perception of disease as a modifiable, network-regulated condition. Visual analytics including heatmaps, hybrid plots, and box plots further support these findings, illustrating multi-gene interactions and the complexity of post-editing phenotypic landscapes. Moreover, the study highlights critical ethical considerations, especially as editing transitions from lab-based research to clinical application. It emphasizes the importance of interdisciplinary frameworks that bridge molecular biology, clinical practice, ethics, and systems theory. Overall, this research affirms that gene-editing technologies are not only therapeutic tools but also epistemic instruments that redefine how disease is understood, managed, and anticipated in the era of genomic medicine.
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Copyright (c) 2025 Yichi Chen (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.



