Article

SHERLOC: An interpretable deep learning model for longitudinal circulating tumor DNA data in survival analysis

2026-06-09

Abstract excerpt

Longitudinal circulating tumor DNA (ctDNA) measurements offer a noninvasive means to monitor treatment response, but clinical trial data present substantial methodological challenges due to high-dimensional short longitudinal ctDNA sequences and limited sample sizes. We introduce SHERLOC, a deep learning framework specifically designed for survival analysis using longitudinal on-treatment ctDNA data, which integra...

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Literature Corpus work: 8003119f-5a5f-5ad2-b4cb-c543a94a8dc3
DOI: 10.64898/2026.06.04.730097

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