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journal article·2025-06Open access

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

Zhibin Dong, Pei Li, Yi Jiang, Zhihan Wang, Shihui Fu, Hebin Che, Meng Liu, Xiaojing Zhao, Chunlei Liu, Chenghui Zhao, Qin Zhong, Chongyou Rao, Siwei Wang, Suyuan Liu, Dayu Hu, Dongjin Wang, Juntao Gao, Kai Guo, Xinwang Liu, En Zhu, Kunlun He

Advanced Science· Volume 12· Issue 22
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Source abstract

Abstract

Abstract Chronic noncommunicable diseases (NCDS) are often characterized by gradual onset and slow progression, but the difficulty in early prediction remains a substantial health challenge worldwide. This study aims to explore the interconnectedness of disease occurrence through multi‐omics studies and validate it in large‐scale electronic health records. In response, the research examined multi‐omics data from 160 sub‐healthy individuals at high altitude and then a deep learning model called Omicsformer is developed for detailed analysis and classification of routine blood samples. Omicsformer adeptly identified potential risks for nine diseases including cancer, cardiovascular conditions, and psychiatric conditions. Analysis of risk trajectories from 20 years of large clinical patients confirmed the validity of the group in preclinical risk assessment, revealing trends in increased disease risk at the time of onset. Additionally, a straightforward NCDs risk prediction system is developed, utilizing basic blood test results. This work highlights the role of multiomics analysis in the prediction of chronic disease risk, and the development and validation of predictive models based on blood routine results can help advance personalized medicine and reduce the cost of disease screening in the community.
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Research context

OpenAlex topics: Bioinformatics and Genomic Networks · Health, Environment, Cognitive Aging · Cardiovascular Health and Risk Factors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Medical Innovation Research Division Chinese PLA General Hospital Beijing Key Laboratory of Chronic Heart Failure Precision Medicine Chinese PLA General Hospital Medical Engineering Laboratory of Chinese PLA General Hospital Beijing 100038 China

School of Computer science National University of Defense Technology Trinity Avenue, Kaifu District Changsha Hunan 410005 China

Department of Cardiovascular Surgery Nanjing Drum Tower Hospital Chinese Academy of Medical Science & Peking Union Medical College Nanjing 210000 China

West China School of Basic Medical Sciences & Forensic Medicine Sichuan University Chengdu 610000 China

Department of Cardiology Hainan Hospital of Chinese People's Liberation Army General Hospital Sanya 572000 China

Center for Synthetic & Systems Biology Tsinghua University Beijing 100084 China

Department of Psychiatry The First Affiliated Hospital of Chongqing Medical University Chongqing 400010 China

Key Laboratory of Major Brain Disease and Aging Research (Ministry of Education) Chongqing Medical University Chongqing 400010 China

Funding

National Key Research and Development Program of China · Ministry of Science and Technology of the People's Republic of China · National Natural Science Foundation of China

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