发布时间：2025-03-31
[ AI & 组学 ]
AI Meets Omics Data: Unlocking the Future of Precision Medicine 惟学书院联合BioMed-AI社举办前沿讲座: 当人工智能深度融入组学数据分析，精准医学正迎来革命性突破。 如何从海量生物数据中挖掘疾病奥秘？ 如何设计靶向药物治愈罕见病？ 3月31日，沈宁教授将带领大家探索计算生物学重塑医学未来。 Weixue College and BioMed-AI Society proudly present a cutting-edge lecture: As AI integrates deeply with omics data analysis, precision medicine is undergoing a revolutionary transformation. How can we decode the secrets of diseases from vast biological data? How to design targeted drugs for rare genetic disorders? Join us on March 31 as Professor Ning Shen unveils how computational biology is reshaping the future of medicine!
讲座信息
讲座主题：AI驱动的组学数据精准医学 Topic: AI-Driven Precision Medicine Using Omics Data 讲座时间：2025年3月31日 14:15-16:00 Date: March 31, 2025, 14:15-16:00 讲座地点：惟学书院多功能厅 Venue: Weixue College Multi-functional Hall
讲座嘉宾
沈宁博士 Dr. Ning Shen 浙江大学良渚实验室助理教授。沈宁博士在杜克大学获得药理学博士学位，曾在杜克大学和哈佛医学院担任研究员。她曾担任生物技术公司计算生物学家，致力于针对罕见遗传疾病的药物开发，成功地将候选药物引入了二期临床试验。在良渚实验室，沈宁博士带领实验室聚焦“计算生物学助力精确医学”，开发计算工具，进行生物信息学分析，进行实验验证和药物开发，作为一作或通讯作者于《Nature Communications》《Cell Systems》《Genome Medicine》《PNAs》等发表多篇成果，已获10项国际专利 。 Dr. Ning Shen is an assistant professor at Liangzhu Laboratory, Zhejiang University. She obtained her Ph.D. in Pharmacology from Duke University, and worked as research fellow in both Duke University and Harvard Medical school. Additionally, Dr. Shen has worked as a computational biologist in a biotech company working on drug development for rare genetic diseases and successfully pushed the candidate into phase II clinical trial. At Liangzhu Laboratory, Shen lab works on "empowering precision medicine with computational biology", where they develop computational tools and carry out bioinformatics analysis followed by experiment validation and drug development. Dr. Shen has published bioinformatics analysis followed by experiment validation first/corresponding author papers in Genome Medicine, Nature Communications, PNAs, Cell systems etc, and was granted 10 patents worldwide.
讲座内容
前沿技术 | Cutting-edge Tools - RESA算法：单细胞RNA测序中的精准体细胞突变检测 - Anchored-fusion：高灵敏度基因融合检测技术 - ASOMAR模型：反义寡核苷酸（ASO）药物的深度学习设计 - RESA algorithm: Precise somatic mutation detection in single-cell RNA sequencing - Anchored-fusion: high sensitivity gene fusion detection technology - ASOMAR model: Deep learning design of antisense oligonucleotide (ASO) drugs 真实案例 | Real-world Impact - 罕见病“早衰症”的ASO治疗：从患者细胞模型到小鼠实验的成功验证 - 多模态致病性评分（MAGPIE）与组织特异性剪接预测（SpliceTransformer）的临床应用 - ASO therapy for the rare disease "Progeria" : successful validation from patient cell models to mouse experiments - Multimodal Annotation Generated Pathogenic Impact Evaluator (MAGPIE) and tissue-specific splicing prediction (SpliceTransformer) 还可以获得活动纪实加分、书院绩点积累!（具体以办学单位、书院为准） Extra points may also be awarded for activity documentation (depending on the school sponsoring organization)
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