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Journals / Sinop Üniversitesi Fen Bilimleri Dergisi / 2026 / Cilt: 10 Sayı: 1

Gene Mining and Privacy by the Emerging High Tech

Gelişen Yüksek Teknoloji ile Gen Madenciliği ve Gizlilik

Hakan Yıldırım(ANKARA BİLİM ÜNİVERSİTESİ)0000-0002-5959-2691
Cihan Ünal(HACETTEPE ÜNİVERSİTESİ, BAŞKENT ORGANİZE SANAYİ BÖLGESİ TEKNİK BİLİMLER MESLEK YÜKSEKOKULU)0000-0002-5255-4078
Pages
200–233
Publication Date
2025-06-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Gene mining is a critical data mining process that enables the identification of genetic predispositions and disease risks by analyzing Deoxyribonucleic Acid-DNA data.
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Key Findings & Data:AI algorithms and data mining techniques facilitate the discovery of genetic patterns, while QC enable highly accurate analyses even in complex and large datasets.
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Conclusion & Impact: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.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Gen madenciliği · hassas veri gizliliği · Yapay Zekâ (YZ)

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.

Özet

Gen madenciliği, DNA verilerini analiz ederek genetik yatkınlıkların ve hastalık risklerinin belirlenmesini sağlayan kritik bir veri madenciliği sürecidir. Bu süreçte, yapay zekâ (YZ) ve Kuantum Bilgisayarlar (KB) gibi yüksek teknoloji ürünlerinin kullanılması, analitik gücü artıran yenilikçi teknolojiler olarak öne çıkmaktadır. Yapay zekâ algoritmaları ve veri madenciliği teknikleri genetik örüntülerin keşfini kolaylaştırırken, KB’ler karmaşık ve büyük veri setlerinde bile yüksek doğrulukta analizler yapılmasına olanak tanır. Bu gelişmeler, DNA verilerinin daha hızlı, daha derinlemesine ve güvenilir bir şekilde incelenmesini sağlayarak genetik araştırmalara önemli katkılar sunmaktadır. Ancak DNA verilerinin hassas doğası, kişisel gizlilik ve veri güvenliği için sıkı önlemler alınmasını gerektirmektedir. Bu bağlamda, Blok Zincir Teknolojileri (BZ) DNA verilerinin yalnızca yetkili kişilerle güvenli bir şekilde saklanması, anonimleştirilmesi ve kontrollü paylaşımı için etkili bir çözüm sunar. Blok Zincir Teknolojisi’nin dağıtık ve değiştirilemez yapısı verileri korurken, yapay zeka ve kuantum teknolojileri gen madenciliğine hız ve hassasiyet kazandırmaktadır. Bu makale, gen madenciliğine YZ, veri madenciliği ve KB’nin katkılarını incelemekte ve kişisel gizliliğin korunmasında BZ’nin önemini vurgulamaktadır. Bu çalışma, gen madenciliğinde YZ, KB ve BZ’nin katkılarını ele alarak, özellikle DNA gibi kişisel ve hassas verilerin korunmasında yüksek düzeyde güvenlik sağladığını ve bu teknolojilerin entegre kullanımının veri gizliliği için yeni standartlar oluşturmadaki kritik rolünü vurgulamaktadır.

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Cite This Article

Yıldırım, H., Ünal, C. (2025). Gene Mining and Privacy by the Emerging High Tech. Sinop Üniversitesi Fen Bilimleri Dergisi, Cilt: 10 Sayı: 1, 200–233. https://doi.org/10.33484/sinopfbd.1599550

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