Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients

Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients

Abstract Background Lynch syndrome (LS) screening methods include multistep molecular somatic tumor testing to distinguish likely-LS patients from sporadic cases, which can be costly and complex. Also, direct germline testing for LS for every diagnosed solid cancer patient is a challenge in resource...

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Main Authors: Ramadhani Chambuso, Takudzwa Nyasha Musarurwa, Alessandro Pietro Aldera, Armin Deffur, Hayli Geffen, Douglas Perkins, Raj Ramesar
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:BJC Reports
Online Access:https://doi.org/10.1038/s44276-025-00140-7
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https://doi.org/10.1038/s44276-025-00140-7

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