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Multimodal deep learning model for predicting homologous recombination deficiency in prostate cancer: an international multi-cohort study

2025-05-07

Abstract excerpt

<title>Abstract</title> <p>Accurate prediction of homologous recombination deficiency (HRD) status is crucial for effective management of prostate cancer (PCa). However, genetic testing is expensive and inaccessible. We propose a multimodal deep learning approach that integrates clinical information, Hematoxylin & Eosin (H&E)-stained whole-slide images (WSIs), and multi-parameter MRI images to predict the HRD sta...

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Literature Corpus work
eddd155a-0be9-578e-acfb-2c3378d2a871
DOI
10.21203/rs.3.rs-6488233/v1
Open publication

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Multimodal deep learning model for predicting homologous recombination deficiency in prostate cancer: an international multi-cohort studyDOI 10.21203/rs.3.rs-6488233/v1
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