
龙尔平,研究员博士生导师、国家海外优青。专注医学人工智能和组学大数据研究,原创论文发表于Nature Medicine、Nature Biomedical Engineering(封面论文2篇)、Nature Genetics、Nature Ecology& Evolution等期刊;在Science、Lancet发表观点述评;成果入选Nature亮点研究报道;主持“科技创新2030”国家重大科技专项(首席科学家)、国自然-重大疾病智慧医疗专项;获“华人生命科学博士最高荣誉”吴瑞奖、“中国智能科学技术最高奖”吴文俊人工智能科技进步一等奖。
实验室英文网站(Google Site):https://sites.google.com/view/erping-long-lab
课题组从事两个相对独立但相互支撑的方向:
一、组学大数据与疾病遗传机制解析
课题组以GWAS为核心,系统整合单细胞组学、高通量功能基因组学、多组学数据及大规模人群队列,深入解析复杂疾病(尤其是呼吸系统疾病)的遗传易感性机制。研究重点包括GWAS风险基因座中功能变异与致病基因的精准定位,关键组织与细胞类型的识别,不同疾病之间的遗传共性与功能多效性,以及进化在疾病易感性形成中的作用,旨在从多维度构建疾病遗传调控的系统性图谱。
二、医学人工智能的技术研发与应用
课题组面向真实世界医学场景,发展和应用前沿人工智能技术,包括深度学习和大语言模型,推动遗传数据、组学信息与临床数据的跨模态融合。通过医学大数据驱动的智能算法,探索疾病风险评估、早期筛查、精准诊断与个体化干预的新方法,并进一步研究大模型在临床决策支持和智慧医疗系统中的可解释性、可靠性与落地应用,促进算法能力向临床价值的转化。
*Equal contributor #Corresponding author
1. Outpatient reception via collaboration between nurses and a large language model: a randomized controlled study
Wan P*, Huang Z*, … Chen Q#, Long E#
Nature Medicine. 2024 (Original Article)
(Highlighted by Nature Medicine, ‘Improving primary healthcare with generative AI’)
2. Model confrontation and collaboration: a debate intelligence framework for enhancing medical reasoning in large language models
Sun X*, Hong Q*, … Wan P#, Long E#
Cell Reports Medicine. 2025 (Original Article)
3. Genetic determinants of gene expression noise and its role in complex trait variation
Long Y*, Ni X#*, Chen T*, … Wan P#, Long E#
Cell Reports. 2025 (Original Article)
4. Discrimination of the behavioural dynamics of visually impaired infants via deep learning
Long E*, Liu Z*, Xiang Y*, …, Lin H#, Liu Y#
Nature Biomedical Engineering. 2019 (Cover Highlights)
5. An artificial intelligence platform for multihospital collaborative management of congenital cataracts
Long E*, Lin H*#, …, Liu Y#
Nature Biomedical Engineering. 2017 (Cover Highlights, 402 citations)
(Highlighted by Nature Biomedical Engineering, ‘Computational medicine: A cybernetic eye for rare disease’)
6. Retesting the influences of mutation accumulation and antagonistic pleiotropy on human senescence and disease
Long E, Zhang J#
Nature Ecology & Evolution. 2019
7. The coupon collection behavior in human reproduction
Long E, Zhang J#
Current Biology. 2020
(Highlighted by Nature, ‘Parents desire for one boy and one girl pushed trend in family patterns’)
8. Decoding genetic susceptibility to human diseases via artificial intelligence
Long E*#, Wan P*, …, Choi J#
Cell Genomics. 2023
9. Trans-ancestry genome-wide meta-analysis of 60,290 cases and 896,712 controls identifies novel genomic cross-ancestry loci contributing to lung cancer susceptibility
Byun J*, Han Y*, Li Y*, Xia J*, Long E*, Choi J, …, Amos CI#
Nature Genetics. 2022
(Highlighted by Cancer Discovery, ‘Cross-ancestry Genomic Data Reveal New Susceptibility Loci in Lung Cancer’)
10. Evidence for the role of selection for reproductively advantageous alleles in human aging
Long E, Zhang J#
Science Advances. 2023
(Highlighted by The New York Times, ‘Genes That Boost Fertility Also Shorten Our Life’)
11. Context-aware single-cell multiomics approach identifies cell-type specific lung cancer susceptibility genes
Long E*, Yin J*, Shin JH*, Li Y*, ...Lee JG#, Kim EY#, Choi J#
Nature Communications. 2024
12. The case for increasing diversity in tissue-based functional genomics datasets to understand human disease susceptibility
Long E, …, Choi J#.
Nature Communications. 2022
13. An evolving understanding of multiple causal variants underlying genetic association signals
Long E*#, William J*, …, Choi J#
American Journal of Human Genetics. 2025
14. High-throughput characterization of functional variants highlights heterogeneity and polygenicity underlying lung cancer susceptibility
Long E*#, Patel H*, …, Choi J#
American Journal of Human Genetics. 2024
15. Massively parallel reported assays and variant scoring identified functional variants and target genes for melanoma loci and highlighted cell-type specificity
Long E*, Yin J*, …, Choi J#
American Journal of Human Genetics. 2022
(Highlighted by American Journal of Human Genetics, ‘Paving a post-GWAS pathway’)
16. Expectations of medical students in China
Wan P, Long E#
Lancet. 2016 (Letter)
17. Pollution Control for a Healthier Chinese Population
Wan P, Long E#
Lancet Planetary Health. 2018 (Letter)
18. Documenting rare disease data in China.
Lin H, Long E, Chen W, Liu Y#.
Science. 2015 (Letter)
课题组汇聚了来自数学、统计学、生物信息学、计算科学、医学等多学科背景的教师与学生,形成了一支交叉学科创新团队。与国内外顶尖高校及科研机构,包括北京大学、密歇根大学、耶鲁大学、美国国立卫生研究院等,建立了广泛而深入的合作网络,共同推动前沿科学探索与转化研究。近年来,团队在多个方向取得系列重要进展:
龙尔平/陈庆宇团队合作研发“小世界增强”落地级医学大模型SSPEC并推向临床试验
https://www.thepaper.cn/newsDetail_forward_28090320
龙尔平/张同武/倪晓琳团队合作解析基因表达噪声的遗传密码和疾病易感新机制
https://finance.sina.com.cn/stock/med/2025-12-01/doc-infziehc1912343.shtml
龙尔平/万沛星团队发布大模型“圆桌会议”框架,大幅提升医疗AI推理能力
https://www.163.com/dy/article/KIJFRG7P053296CT.html
龙尔平/Jiyeon Choi团队运用高通量功能组学技术解析肺癌多基因易感机制
https://www.bilibili.com/opus/946900109676773413
解读复杂性状/疾病的遗传基础,龙尔平团队合作提出基因组关联信号的“多因果位点”假说
https://news.qq.com/rain/a/20250222A01IY700
生两个孩子最有利于长寿?龙尔平/张建之团队揭示生殖等位基因选择在人类衰老中的作用
https://www.medsci.cn/article/show_article.do?id=c144808305d6