A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction

A novel sequence-based transformer model architecture for integrating multi-omics data in preterm birth risk prediction

Abstract Preterm birth (PTB) significantly contributes to maternal and perinatal mortality and lifelong morbidity. While large language models (LLM) offer considerable potential for disease risk prediction and early detection, their application to PTB prediction using multi-omics data remains limite...

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Main Authors: Si Zhou, Chenchen Guan, Siwei Deng, Yibing Zhu, Wenzhi Yang, Xiao Zhang, Xinrui Wang, Jinying Yang, Shida Zhu, Hui Jiang, Jianguo Zhang, Yongcheng Jin, Danling Cheng, Hai-Xi Sun, Lijian Zhao, Hefeng Huang
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01942-2
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https://doi.org/10.1038/s41746-025-01942-2

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