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Rare disease genomics and precision medicine.

📅 Published: December 3, 2024 👤 Hong Juhyeon, Lee Dajun, Hwang Ayoung et al. 📖 Genomics & informatics
AI-Generated Summary

Rare diseases, though individually uncommon, collectively affect millions worldwide. This review explores the role of genomics in rare disease research, the impact of large consortium initiatives, advancements in extensive data analysis, the integration of artificial intelligence (AI) and machine learning (ML), and the therapeutic implications in precision medicine.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 Genomic technologies and big data analytics have revolutionized diagnosing and understanding these conditions.
  • 2 This review explores the role of genomics in rare disease research, the impact of large consortium initiatives, advancements in extensive data analysis, the integration of artificial intelligence (AI) and machine learning (ML), and the therapeutic implications in precision medicine.
  • 3 We also discuss the challenges of data sharing and privacy concerns, emphasizing the need for collaborative efforts and secure data practices to advance rare disease research.
Why It Matters

Understanding this could lead to better treatments, improved diagnostics, or a deeper grasp of how the human body works — benefiting patient care globally.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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