BioSpectrum Asia Edition刊登华大基因CEO赵立见署名文章

12月3日，亚太生物科技杂志BioSpectrum Asia Edition刊发年终封面专题“2025 Trends"，其中华大基因CEO赵立见分享医疗健康领域的三大趋势——人工智能（AI）在医疗中深度应用前景、多组学数据驱动疾病风险预测模型优势，医疗服务从被动诊疗向主动管理的转型趋势，为全球健康管理描绘了一幅创新图景。（以下中文部分为署名文章英文对照翻译，供读者参考。点击此处，查看报道原文。）

/作者：华大基因CEO 赵立见 /

引言
随着医疗行业的不断发展，健康服务正从单纯的疾病诊断与治疗向更加主动的健康管理转型。
The future of healthcare is moving beyond treatment and diagnostics to proactive health management.

趋势一：人工智能深度融入临床实践

AI's Future Integration into Clinical Practice

未来，人工智能将在医疗领域进一步深化应用，推动疾病检测和疾病管理的模式全面升级。基于多组学数据训练的前沿神经网络模型，将大幅提高疾病预测的精准度和诊断效率。

In the coming years, AI will become seamlessly integrated into healthcare, transforming both disease detection and patient care. Advanced neural network models trained on multi-omics data will enhance our ability to predict diseases with unprecedented accuracy, making diagnostics faster and more reliable.

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此外，随着人机交互技术的广泛应用，远程医疗将进入全新阶段。大语言模型能够实时提供精准的医疗建议，减轻医务人员的工作负担，并将患者的等待时间从数周缩短至几分钟。

The rise of human-machine interactions through telehealth will revolutionise medical consultations. Imagine a future where Large Language Models, like ChatGPT, provide instant, accurate medical advice, easing the burden on healthcare professionals and drastically reducing patient wait times from weeks to mere moments.

趋势二：AI驱动的多组学疾病风险预测

AI-Integrated Multi-omics-Based Disease Risk Prediction Models

人工智能正在加速推动疾病风险预测技术的发展，为癌症和心血管疾病等重大疾病的早期预防提供了全新思路。

AI-powered models are increasingly being used for the early prediction and prevention of major diseases, such as malignant tumours and severe cardiovascular conditions.

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通过整合基因组学、蛋白组学、表观遗传学等多组学数据，这些模型通过数字化形式，精准模拟疾病发展路径和不同干预措施的效果。借助机器学习（Machine Learning），临床专家可以为患者量身定制个性化治疗方案，在提高治疗效果的同时，最大限度地减少不必要的副作用并减轻患者的痛苦。

By integrating multi-omics data, spanning across genomics, proteomics, transcriptomics, epigenomics, metabolomics, and microbiomes, these models recreate digital representations of biological processes. This digitalisation allows for the simulation of disease progression and the effects of various interventions, using machine learning to tailor personalised treatment solutions. This approach gives clinicians critical insights for selecting the most effective treatment strategies while minimising unnecessary side effects and reducing patient suffering.

趋势三

主动健康管理模式的构建

Proactive Health Monitoring model

面向未来，医疗行业正在从传统的治疗与诊断，迈向以主动健康管理为核心的全新阶段。我们致力于通过整合影像数据、多组学检测结果以及个体生活方式信息，构建一套以“生命指数”为核心的健康评估体系。

The future of healthcare is moving beyond treatment and diagnostics to proactive health management. Our vision involves creating a comprehensive health model for continuous individual monitoring, integrating imaging data, multi-omics diagnostics, and lifestyle information to establish a 'life index'.

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华大基因研发的主动健康管理系统，通过全面整合多维数据，精准评估个体健康风险，为疾病预防和个性化健康管理提供科学依据，帮助公众更积极、高效地掌控自身健康。

BGI Genomics has developed such a proactive health system model, which represents a groundbreaking approach to disease prevention and personalised health management. This holistic index provides a detailed view of an individual's health risks and outcomes, empowering proactive and informed health management.