1st Symposium on Computational Pharmaceutics - AI and Modeling in Pharma 4.0


Posted by Defang Ouyang

Introduction

The inaugural Symposium on Computational Pharmaceutics will convene leading researchers, practitioners, and industry experts to address the latest advancements and challenges in the field. This event will serve as a platform for top global experts to share their insights, discuss recent developments, and explore the role of AI and modeling in enhancing healthcare outcomes. Additionally, participants will have the opportunity to exchange experiences, generate ideas, and consider potential collaborations. We eagerly anticipate welcoming attendees from around the world to engage in this vital dialogue.



Date: 14-16 December, 2024

Venue: N22-G002, University of Macau

Programme:

  • Keynote speaker presentations (40 min)
  • Invited presentations (30 min)
  • Oral presentations (10 min)

Topics/Subjects:

The Symposium will cover a broad range of topics related to computational pharmaceutics. Some of the key areas include:

  • AI for pharmaceutics
  • Multi-scale modeling in drug delivery
  • High-performance computing and robotics in formulation development

Organizing Committee:

The Organizing Committee will be responsible for selecting speakers, setting the agenda and ensuring the smooth running of the Symposium.

Chair: Dr. Defang Ouyang, University of Macau, Macau, China

Committee members:

  • Prof. Christel Bergström, Uppsala University, Sweden
  • Prof. Xiaoling Li, University of the Pacific, USA
  • Prof. Charley Wu, University of Surrey, UK
  • Dr. Zhuyifan Ye, Macao Polytechnic University, Macau, China
  • Dr. Jie Dong, Central South University, China
  • Prof. Alex Bunker, University of Helsinki, Finland
  • Prof. Jiwen Zhang, Shanghai institute of Materia Medica CAS, China
  • Prof. Ruofei Du, Shanghai University of Traditional Chinese Medicine, China
  • Prof. Zhenbo Tong, Southeast University, China
  • Prof. Yuanjia Hu, University of Macau, Macau, China
  • Prof. Bo Liu, Wuhan Institute of Technology, China
  • Prof. Xizhong Chen, Shanghai Jiaotong University, China
  • Prof. Jukka Rantanen, University of Copenhagen, Denmark
  • Prof. Dongyang Liu, Peking University Third Hospital, China
  • Prof. Wei Wu, Fudan University, China
  • Dr. Defang Ouyang, University of Macau, Macau, China

Day 1 (14 December)

  • 8:00 AM - 9:00 AM: Registration and Networking
  • 9:00 AM - 9:20 AM: Opening Remarks
    • Prof. Xin Chen, Director of ICMS, University of Macau
    • Representative from Wiley
    • Representative from Chemical Industry Press
  • 9:20 AM - 10:00 AM: Prof. Christel Bergström "Virtual assessment of formulation design, drug loading and assessment of performance of oral dosage forms"
  • 10:00 AM - 10:30 AM: Prof. Alex Bunker "Molecular dynamics simulation as a design tool for lipid and polymer based drug delivery systems"
  • 10:30 AM - 11:00 AM: Coffee Break and Networking
  • 11:00 AM - 11:30 PM: Prof. Charley Wu "Computational Modeling for Continuous Pharmaceutical Manufacturing"
  • 11:30 PM - 12:00 PM: Prof. Xizhong Chen "Multiscale characterization and modelling for the development of solid dosage forms"
  • 12:00 PM - 2:00 PM: Lunch Break and Networking

  • 2:00 PM - 2:30 PM: Prof. Jukka Rantanen "Exploring the diversity of hydrates using data mining" (online)
  • 2:30 PM - 3:00 PM: Prof. Jiwen Zhang "Structure Pharmaceutics from Discovery to Development and Quality Control" (online)
  • 3:00 PM - 3:30 PM: Prof. Xiaoling Li "3D Printing - A Path to Digital Pharmaceutical Product Development and Manufacturing"
  • 3:30 PM - 4:00 PM: Coffee Break and Networking
  • 4:00 PM - 4:30 PM: Prof. Zhenbo Tong "AI-CFD-PBPK model for orally inhaled drugs (OID)" (online)
  • 4:30 PM - 5:00 PM: Prof. Ruofei Du "Intelligent Manufacturing of Traditional Chinese Medicine: Underlying Logic, Technological Innovation, and Industry Outlook" (online)
  • 5:00 PM - 6:00 PM: Young scientist presentations (10 min/presentation)

Day 2 (15 December)

  • 8:30 AM - 9:00 AM: Registration and Networking
  • 9:00 AM - 9:30 AM: Prof. Wei Wu "Particokinetics vs. pharmacokinetics"
  • 9:30 AM - 10:00 AM: Prof. Yuanjia Hu "Big data analytics to aid drug discovery and development: research cases and decision-making"
  • 10:00 AM - 10:30 AM: Prof. Dongyang Liu "Development and application of PBPK-PD population model for specific patients" (online)
  • 10:30 AM - 11:00 AM: Coffee Break and Networking
  • 11:00 AM - 12:00 PM: Young scientist presentations (10 min/presentation)
  • 12:00 PM - 2:00 PM: Lunch Break and Networking

  • 2:00 PM - 2:30 PM: Prof. Bo Liu "Combination of AIDD and AI-PBPK technology to accelerate the screening of P-CAB drug molecular" (online)
  • 2:30 PM - 3:00 PM: Dr. Jie Dong "pepADMET: the first computational platform for systematic ADMET evaluation of peptides"
  • 3:00 PM - 3:30 PM: Dr. Zhuyifan Ye "Organic crystal structure prediction via coupled generative adversarial networks and graph convolutional networks"
  • 3:30 PM - 4:00 PM: Coffee Break and Networking
  • 4:00 PM - 4:40 PM: Dr. Defang Ouyang "Computational pharmaceutics: yesterday, today and tomorrow"
  • 4:40 PM - 5:00 PM: Closing remarks by Dr. Defang Ouyang

Day 3 (16 December)

  • 9:00 AM - 10:00 AM: SKL-QRCM lab visit
  • 10:00 AM - 12:00 PM: UM campus visit

  • 2:00 PM - 5:00 PM: Macau visit

Registration Fee:

International attendants: 150 USD for students, 300 USD for academy, and 500 USD for industry.

Note:

  • 1. Please be aware that only 50 registrations will be available due to limited space and seating. It's on a 'first come, first served' basis.
  • 2. Kindly reach out to Mr. Nannan Wang (yc27507@um.edu.mo) via email for registration.

国内参会代表注册费: 学生 600人民币, 学术界人士 1200人民币， 工业界人士 2000人民币;

国内参会代表注册费请转账到以下银行账号：

  • 名称：珠海鸿松医药科技有限公司
  • 纳税人识别号：91440400MA4ULW0N14
  • 地址：珠海市横琴新区宝华路6号105室-11421
  • 电话：0756-2686180
  • 开户行：交通银行股份有限公司珠海夏湾支行
  • 账号：444000921018800003748

注：

  • 1. 转账请注明参会人员名字和单位。
  • 2. 转账截图请邮件发送到邮箱 (yc27507@um.edu.mo)，邮件题目为“计算药剂学论坛注册”，并在邮件中写明参会人员的名字、单位、是否需要发票，会议摘要投稿请同时附件发送。
  • 3. 如果有任何疑问，请联系工作人员：王南男，手机号码（18679247586），电子邮箱：yc27507@um.edu.mo。
  • 4. 由于空间和座位有限，仅开放50个注册名额。采取“先到先得”的原则。