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Development of Novel Genomic Data Analysis Techniques in Saudi Arabian Medical Laboratories

Year: 2025

Type: article

Abstract: Genomic data analysis is, indeed, a transformative factor for personalized medicine and precision diagnostics. This research undertakes the study of the adoption and performance of advanced genomic analysis techniques, including AI models, in 160 medical labs across six regions in Saudi Arabia. Survey data and statistical analysis (SPSS) were employed to assess: the impact of AI on diagnostic accuracy; the assessment of execution efficiency in WGS/RNA-seq pipelines; and regional variations, governance of data, and readiness from an ethical point of view. The results demonstrated that AI methods greatly improve diagnostic accuracy (p < 0.001) and that deep learning models reduce execution time (p = 0.0086). However, inconsistencies in data sharing, privacy, and ethical approval practices call for a standardized framework. The study highlights the progress being made in Saudi Arabia toward genomics-enabled healthcare while identifying operational and regulatory issues to be addressed for the realization of the Vision 2030 project.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17777286

Author: Khaled Alshehri1, Dr. Rawabi Z. Zahed2, Nada Alghamdi3, Rami M Alghamdi*4, Gharam Y. Alruwaili5, Abdulaziz Alzahrani6, Mushrif M Alamari7, Abdullah H Alharbi8, Yassir Bin Khalifah9, Afrah M Alenzi10, Mubarak Al Mohammal11, Abdulaziz Alsahli12, Rayan H Alsubaie13, Abdulrahman Aljeathen14, Hamoud Alzahrani15

Language: English

Topic: Artificial Intelligence in Healthcare and Education

Subfield: Health Informatics

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W7108209103

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