人才队伍
龙尔平
  • 职称 :研究员
  • 导师类别 :博士生导师
  • 邮箱 :erping.long@ibms.pumc.edu.cn
  • 电话 :
  • 所属重点实验室 :呼吸和共病全国重点实验室
基本情况
科教领域及主要成果
代表性论著
团队成员

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