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【玉山學者AI系列講座】5/28(二) 10:30-12:005 芝加哥大學教授Andrey Rzhetsky【Using AI for dissecting complex human disease】歡迎師生踴躍報名參加

YuShan Scholar Lecture Series—Ai in Life Science 

成大研發處與玉山學者五條堀孝博士合作,邀請在AI研究應用有豐富經驗的學者,分享他們的專業知識和寶貴經驗。

5月28日(星期二)邀請芝加哥大學 Prof. Andrey Rzhetsky 線上演講 「Using AI for dissecting complex human disease 使用AI剖析複雜的人類疾病」。

AI為近年主流,希望透過系列演講分享相關應用案例、技術、未來發展趨勢給全校師生同仁。

AI系列講座已舉辦兩場,反應熱烈,煩請協助轉知單位所屬師生及同仁,歡迎師生同仁踴躍報名參加。講座會後將提供精美餐盒。

=================演講資訊========================

【時 間 Date】:05月28日(週二) 10:30~12:00 

【講 題Topic】:Using AI for dissecting complex human disease

【講 者Speaker】:Andrey Rzhetsky (Professor of Department of Medicine, University of Chicago)

【地 點Venus】:光復校區國際會議廳 (線上講座)

【報 到 Check-in】:10:00~10:30 

【演 講 Speech】:10:30~11:30

【問與答Q&A】:11:30~12:00 (提供午餐)

【報 名 Sign up】AI in Life Sciences 系列講座 (https://forms.gle/BzWd7ESWrJoxUkWq8)

 =================演講資訊========================

講者簡介/CV:Andrey Rzhetsky is an Edna K. Papazian Professor of Medicine and Human Genetics at the University of Chicago. He is also a Pritzker Scholar, and a Senior Fellow at the Institute for Genomics and Systems Biology at the University of Chicago.  His research is focused on computational dissection of etiology of complex human diseases.

演講摘要 Abstract:I will cover a collection of interrelated topics in dissection of etiology of complex human diseases, as seen through lens of large-scale medical data analysis.  Individual studies that I will cover focus on mosaic of genetic, environmental, and genetic—environmental interaction factors.  The studies relied on massive medical records from US, Sweden, Denmark, and Japan, and a battery of modeling approaches. 

YuShan Scholar Lecture Series (詳細資訊請至研發處網站>最新消息>活動訊息>學術活動 https://ord.ncku.edu.tw/news-701.html)

 

時間

講題

講者

備註

5/28(二)

10:30-12:00

Using AI for dissecting complex human disease

Andrey Rzhetsky

Professor of Department of Medicine, University of Chicago

線上講座

6/5(三)

12:00-13:30

An Impact of AI in Life Science: AI Revolution of Protein Tertiary Structure by "AlphaFold 2" as an Example

Toshinori Endo

Professor of Hokkaido University

線上講座

6/11(二)

12:00-13:30

Machine Learning and Deep Learning for Predicting Protein Functions and Phenotypes

Robert Hoehndorf

Associate Professor of Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology

線上講座

 

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