Learn how AI/ML models disease mechanisms and predict biological system responses to perturbations.

Equip teams with AI tools that capture process knowledge and simulate scale-up scenarios, reducing tech transfer timelines and improving first-batch success rates - critical for aligning R&D, MSAT, and manufacturing expectations early.

Understand how NLP and computer‑vision tools for real‑time data ingestion, normalization, and QC can eliminate manual queries, reducing data‑lock delays and speeding interim analyses.
Demonstrating LLM‑based data mapping and error‑correction pipelines that automatically normalize free‑text entries, generate query explanations, and cut manual QC workloads in half.

Reinforces trust and compliance by embedding robust data governance frameworks and ethical AI practices, to responsibly harness data and mitigate future regulatory risks.

Discuss the transformation of synthetic workflows by integrating AI into lab automation.
Discover how real-time data analysis and automated systems enhance reaction efficiency and reproducibility.

Discuss how Lab in the Loop is revolutionizing drug discovery by integrating AI with experimental workflows, enhancing speed and accuracy in data collection and analysis.

This session provides the unique opportunity to listen to, and engage with, some of the most innovative AI Drug Discovery and Development start-ups globally. Focusing exclusively on early-stage funding, six startups picked by our esteemed selection committee will take to the stage in front of 100+ potential partners. Through a series of rapid-fire presentations, these pioneers will demonstrate their vision of the future of drug discovery, and how their product, technology, or service fits into it.

Highlight how digital twins and hybrid ML models (e.g., Bayesian, predictive) enable virtual experimentation and proactive troubleshooting, reducing scale-up failures and supporting more reliable process performance at commercial scale.

See how AI‑powered feasibility assessments and automated start‑up workflows can slash administrative cycle times, freeing your team to focus on critical clinical oversight.