Year: 2025
Type: article
Abstract: Gene mining is a critical data mining process that enables the identification of genetic predispositions and disease risks by analyzing Deoxyribonucleic Acid-DNA data. Within this process, using emerging high tech such as artificial intelligence (AI) and Quantum Computers-QC emerge as innovative technologies that enhance analytical power. AI algorithms and data mining techniques facilitate the discovery of genetic patterns, while QC enable highly accurate analyses even in complex and large datasets. These advancements allow for a faster, more in-depth and reliable examination of DNA data, providing substantial contributions to genetic research. However, the sensitive nature of DNA data necessitates stringent measures for personal privacy and data security. In this context, Blockchain Technologies-BCT offers an effective solution for the secure storage, anonymization and controlled sharing of DNA data exclusively with authorized entities. The distributed and immutable structure of Blockchain Technology-BCT safeguards data while AI and quantum technologies contribute speed and precision to gene mining. This article examines the contributions of AI, data mining and QC to gene mining and underscores the importance of BCT in preserving personal privacy. This study examines the contributions of AI, QC, and BCT in gene mining, emphasizing the importance of BCT in ensuring data privacy and security. In particular, while providing a high level of security for the protection of personal and sensitive data such as DNA, the integrated use of these technologies plays a critical role in establishing new standards for data privacy.
Authors: Hakan Yıldırım, Cihan Ünal
Institutions: Ankara Bilim Üniversitesi, Hacettepe University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411766515