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: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | BJC Reports |
| Online Access: | https://doi.org/10.1038/s44276-025-00140-7 |
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