Systems Medicine in Liverpool, Alderley Park, 17 July 2026
You Tao, Ivan Ibanda, Una Milovanovic, Amy Harding, Lin Zijin, Huang Zhonghui
This is a 90-minute workshop at Alderley Park. The workshop discusses how computational and in vitro modelling should be used to support drug discovery and development. Several companies attended, including ApconiX, Inoviv and F2G.
Host: Dr. Mark Davies (Head of Innovation, Bruntwood SciTech)
Session I. Drug Discovery & Preclinical Development
1. Articulate the Target Compound Profile (Systems Pharmacology)
2. Human-Matrix Models (in vitro modelling)
3. Explain patient-to-patient variability (machine learning)
Session II. Drug Development
4. How to design clinical trial (Pharmacometrics)
5. Use AI to speed up analysis (PK modelling)
6. Pharmacokinetics in diverse populations (PBPK modelling)
Introduction by You Tao
1. Articulate the Target Compound Profile (Systems Pharmacology) by Ivan Ibanda
✔ What is the target compound profile?
✔ What strategy may be used to generate the targeted compound profile?
✔ How to save time?
3. Explain patient-to-patient variability (machine learning) by Una Milovanovic
✔ What are the sources of noise in high throughput data?
✔ Which strategy might be useful for tackling the noise?
✔ Can you generate reproducible predictive markers across clinical studies?
4. How to design clinical trial (Pharmacometrics) by Lin Zijin
✔ How to model clinical adverse events?
✔ How to use modelling to inform the design of a clinical trial?
✔ What is a good strategy for quantifying clinical risks?
5. Use AI to speed up analysis (PK modelling) by huang zhonghui
✔ Is AI-driven modelling as good as a human modeller?
✔ How much time saving can I make?
✔ How far can AI-driven modelling go?
6. pharmacokinetics in diverse populations (PBPK modelling) by You Tao
✔ Are PBPK models sloppy?
✔ How can you predict with confidence?
✔ Which open project is worth doing?