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Article

Applying artificial intelligence to uncover the genetic landscape of coagulation factors.

Journal of thrombosis and haemostasis : JTH - 1 Apr 2025

Soldà Giulia, Asselta Rosanna

Abstract excerpt

Artificial intelligence (AI) is rapidly advancing our ability to identify and interpret genetic variants associated with coagulation factor deficiencies. This review introduces AI, with a specific focus on machine learning (ML) methods, and examines its applications in the field of coagulation genetics over the past decade. We observed a significant increase in AI-related publications, with a focus on hemophilia...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39798926
DOI: 10.1016/j.jtha.2024.12.030

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

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