Monika Lamba Saini
Director, Medical, Translational, & Computational Pathology GlaxoSmithKline
Seminars
Thursday 3rd December 2026
Insight Exchange – How Can AI & Computational Models Improve Confidence Before the Clinic?
9:10 am
- Which data sources provide the greatest opportunity to improve prediction of patient outcomes: pathology, imaging, clinical, biomarker, or multi-omic data?
- How can digital pathology, digital twins, and computational approaches be integrated with traditional tumour models to strengthen translational confidence?
- What evidence is needed before organisations can trust AI-generated insights to influence development and progression decisions?
- Audience Q&As
Thursday 3rd December 2026
Evidence – Leveraging Digital Pathology & AI to Improve Translational Decision-Making in Oncology
8:00 am
- Applying digital pathology and AI-driven image analysis to generate deeper insights into tumour biology, therapeutic response, and biomarker expression
- Integrating pathology, imaging, and translational datasets to improve confidence in development decisions and patient stratification strategies
- Understanding how computational pathology can accelerate biomarker discovery and support more predictive oncology research
