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June 12, 2026Asian Journal of Current ResearchOpen Access

Harnessing Artificial Intelligence in Genomics for the Prevention of Recessive Disorders: An Overview

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Authors

JDJatin DahiyaMKMohammad Mustafa KhanSJShivam Jaiswar

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Overview

Overview examines AI innovations facilitating the prevention and screening of recessive genetic disorders, highlighting implications.

Key Points

  • This review explores the role of artificial intelligence in preventing recessive genetic disorders through advanced genomic analysis.
  • Examined AI-driven methodologies for carrier screening and embryo selection in genomic applications.
  • Reviewed AI systems like PhenIX and Deep Variant in analyzing genomic variants and predicting disease risks.
  • Addressed ethical considerations and challenges in translating AI technology into clinical genetics.
  • Highlighted advancements in AI that enhance the speed and precision of genomic variant analysis.
  • Identified algorithmic bias and data privacy as key limitations affecting diagnostic accuracy.
  • Outlined the need for ethical oversight in implementing AI in genetic counseling and screening practices.

Cite This Study

Dahiya et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba1438101cf8926f00cf0https://doi.org/10.56557/ajocr/2026/v11i310692
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Artificial Intelligence and the Future of Diagnosing Rare Genetic Disorders: Revolutionizing Precision Medicine2024
  2. 2Artificial Intelligence and Genomic Data Analysis: New Frontiers in Precision Medicine2026
  3. 3AI in variant analysis: fast track to genetic diagnoses2026
  4. 4Advanced AI and Augmented Reality (AR) Integration in Medical and Surgical Practice2024 · 3 citations
  5. 5AI-Assisted Diagnosis of Rare Genetic Disorders : A Case Study2024