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How AI Is Speeding Up the Diagnostic Odyssey for Rare Diseases.

Abstract

The road to diagnosis can be long and sometimes unending for rare diseases, requiring training and resources that many clinics do not have. In this News and Perspectives article, JMIR Correspondent Simon Spichak reports on how AI initiatives at a children's hospital in the United States and one in Canada are helping bridge that gap and could fundamentally reshape the diagnostic experience for children and families living with rare diseases.

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Simon Spichak. 2026-08-27. How AI Is Speeding Up the Diagnostic Odyssey for Rare Diseases.. https://doi.org/10.2196/109380

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Targeted Next-Generation Sequencing for Improved Clinical Outcomes in People Living With Rare Diseases in Global South: Protocol for a Systematic Review and Meta-Synthesis.

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Targeted Next-Generation Sequencing in Rare Diseases.

Targeted next-generation sequencing (NGS) in rare disease focuses on genetic analysis of specific regions in genome that are linked to a rare disease. In addition to library preparation, sequencing, and data analysis, targeted NGS includes an additional step of target enrichment of selected genes and regions. It allows for more sensitive and profound sequencing, as it is a fast and cost-effective approach with less data burden and is therefore often a method of choice for identifying rare variants in known genes, especially in diagnostics of rare diseases. Several in silico tools address the pathogenicity predictions of rare variants of unknown significance (VUS) and can therefore facilitate clinical interpretation.

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