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CHI Grand Rounds - Data-Intensive Science of Jamu Medicines
Start Date: 3/20/2017Start Time: 12:00 PM
End Date: 3/20/2017End Time: 1:00 PM
Event Description:

Data-Intensive Science of Jamu Medicines

Featuring: Dr. Altaf Amin, Associate Professor, NARA Institute of Science and Technology, Japan

Popular traditional medicines from Indonesia are known as Jamu. In this talk we will explore and explain interesting patterns in the formulation of Indonesian Jamu medicines by utilizing data-intensive science and machine learning methods. Next, we will extend the talk on the analysis for predicting Jamu efficacy based on metabolite composition and identifying important metabolites.


  1. Studying disease-plant relationships
  2. Metabolomic studies of Jamu medicines to find disease-metabolite relations and
  3. Finding a suitable similarity measure for specific data based on ROC curve analysis

Altaf-Ul-Amin received B.Sc. degree in Electrical and Electronic Engineering from BUET Bangladesh, MS from UKM Malaysia and PhD from NAIST Japan. He worked in several universities in Bangladesh, Malaysia and Japan. Currently he is working as an associate professor in Computational Systems Biology Lab of NAIST. He is conducting research on Network Biology, Systems Biology, Cheminformatics and Biological Databases.

Location Information:
University of Manitoba - Bannatyne - Basic Medical Sciences  (View Map)
745 Bannatyne Avenue
Winnipeg, MB
Room: Theatre B
Contact Information:

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