Keynote speakers
Japanese Pharmacological Society (JPS) Lecturer
Masatoshi Hagiwara, M.D. & PH.D
Kyoto University, Kyoto, Japan
Asia Pacific Federation of Pharmacologists (APFP) Keynote
Dr Guanhua Du
Peking Union Medical College, Beijing, China
Dr Du obtained his PhD degree from Peking Union Medical College in 1995, and conducted his postdoctoral research at the University of Liège, Belgium from 1995 to 1998. Dr Du is primarily engaged in drug discovery and development, screening methods and strategy, and research on drug effects and mechanisms in cerebrovascular and neurodegenerative diseases. He originated the national high-throughput drug screening system in China, and provided drug screening services for over 300 million samples for domestic pharmaceutical institutions or enterprises.
In the past 10 years, Dr Du has published more than 500 papers and more than 30 monographs, and applied for more than 90 patents. He has completed preclinical research on 9 new drugs, among which 3 have been brought to market, and 6 have entered clinical trials. He is the Editor-in-Chief of Pharmacology Research: Modern Chinese Medicine, Associate Editor of Pharmacology & Therapeutics and more than ten other scientific journals.
Australian Pharmaceutical Science Association (APSA) Lecturer
Professor Faye McMillan AM
The University of Technology Sydney and The Australian Pharmacy Council
Australian Pharmaceutical Science Association (APSA) Medallist
Professor Rebekah Moles
Sydney Pharmacy School, The University of Sydney
Pharmaceutical Society of Australia (PSA) Lecturer
Dr Amanda Cross
Monash University
British Pharmacological Society (BPS) Lecturer
Professor Reecha Sofat
University of Liverpool, England
Her activities are linked to her research, with the golden thread being data sciences. Her research interests focus on making and using medicines better through a data science approach. In improving the use of medicines, she leverages electronic health record data linked to health outcome data to understand how and where medicines are used. This includes strategies to inform medicines policy decisions, cost-effectiveness, and methods such as causal inference to determine medicines repurposing opportunities. Making medicines better involves leveraging large-scale biological data, such as genomics and multi-omics, to understand the molecular underpinnings of complex diseases better. This approach helps to address unmet needs and use these methods to identify drug targets or therapeutic opportunities more effectively.
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