What question did this study set out to answer?

This research aims to evaluate the feasibility of using machine learning to identify inherited causes of thrombocytopenia.

May 28, 2026British Journal of Haematology0 citations

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Can machine learning identify inherited causes of thrombocytopenia? A feasibility study

GGGerard GurumurthyCambridge University Hospitals NHS Foundation Trust FKFilip KisielUniversity of Manchester LRLianna ReynoldsManchester University NHS Foundation Trust

Key Points

This research aims to evaluate the feasibility of using machine learning to identify inherited causes of thrombocytopenia.
Developed machine learning models using data from the service evaluation of a gene panel for thrombocytopenia.
Analyzed supplemental data from Gurumurthy et al. for relevant genetic patterns.
Identified several inherited genetic factors associated with thrombocytopenia.
Demonstrated the capability of machine learning to streamline genetic evaluations in patients.

Abstract

Data used for the development of the machine learning models are found within the supplemental data of Gurumurthy G, Reynolds L, Sutherland M, Thachil J, Grainger J. Service evaluation of R90 bleeding and platelet disorders gene panel in thrombocytopenia cases. Br J Haematol. 2025;206 (3):930–934. https://doi.org/10.1111/bjh.19947.

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Cite This Study

Gurumurthy et al. (Tue,) studied this question.

synapsesocial.com/papers/6a17dd4e3fad632b0f9d9ff8 https://doi.org/https://doi.org/10.1111/bjh.70585

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