前立腺腺癌における健康格差を縮小するためのマルチモーダル転移学習フレームワーク
Lusheng Li1, Jieqiong Wang2, Shibiao Wan1,3
1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, USA.
本研究では、前立腺がん(PRAD)の予後における人種間の格差を縮小するための新しいマルチオミクス転移学習フレームワークであるMOTLPRADを紹介します。このモデルは、多様なオミクスデータを統合し、転移学習を使用して黒人男性の転帰を改善します。
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