2nd Symposium on Computational Pharmaceutics - AI for drug delivery


Posted by Defang Ouyang

Introduction

The 2nd Symposium on Computational Pharmaceutics will bring together leading researchers, pharmaceutical scientists, AI experts, industrial innovators, and regulatory professionals to explore emerging advances in computational pharmaceutics and intelligent pharmaceutical development. Centered on the theme of AI drug delivery, the symposium will highlight how artificial intelligence, digital twins, mechanistic modeling, and data-driven technologies are transforming pharmaceutical research, development, manufacturing, and regulation in the era of Pharma 4.0.

Building upon the success of the inaugural symposium, this meeting aims to provide an interdisciplinary platform for discussing cutting-edge developments in AI-enabled formulation design, predictive pharmaceutical modeling, autonomous experimentation, intelligent manufacturing, and regulatory science. Particular emphasis will be placed on integrating computational methodologies across the entire pharmaceutical lifecycle to accelerate innovation, improve product quality, enhance manufacturing efficiency, and support patient-centric drug development.

The symposium will also encourage global collaboration among academia, industry, healthcare institutions, and regulatory agencies. Participants will have the opportunity to exchange scientific insights, share industrial experiences, discuss future challenges, and establish new international collaborations. We warmly welcome attendees from around the world to join this exciting dialogue and contribute to shaping the future of Quality by Computational Design.


Date: 2-5 December, 2026

Venue: E4-G078, University of Macau, Macau, China

Programme:

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

Topics/Subjects:

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

  • Artificial Intelligence for Advanced Drug Delivery
  • Quality by Computational Design (QbCD)
  • Multi-Scale Modeling and Simulation in Pharmaceutical Development
  • Regulatory Science and Governance for AI-driven Pharmaceutical Development
  • Self-Driving Laboratories and Autonomous Robotics
  • Precision Medicine and Personalized Therapeutics

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: TBC

Day 1 (2 December)

  • Registration and Networking

Day 2 (3 December)

  • Conference presentation

Day 3 (4 December)

  • Conference presentation

Day 4 (5 December)

  • UM visit tour

Registration Fee:

International attendants: 200 USD for students, 400 USD for academy, and 600 USD for industry.

Note:

  • 1. Please be aware that only 100 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 900 人民币, 学术界人士 1800 人民币， 工业界人士 2800 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，微信：18679247586，电子邮箱：yc27507@um.edu.mo。
  • 4. 由于空间和座位有限，仅开放 100 个注册名额。采取"先到先得"的原则。