The Discovery Biology Stage is designed for leaders across discovery biology, translational research, computational biology, AI, bioinformatics, and early-stage R&D within pharma, biotech, and life sciences organisations.

If you are applying AI to improve biological insight, accelerate target discovery, or scale decision-making across early research, this stage is built for you.

Discover how organisations are using AI to improve target identification, biological understanding, hypothesis generation, and decision-making across early discovery.

Sessions focus on practical implementation, multimodal data integration, workflow adoption, and the operational realities of scaling AI across discovery biology environments.

Most AI events focus on future potential.

This stage focuses on operational application - how organisations are embedding AI into discovery workflows today to improve biological insight, accelerate research, and support better decision-making under uncertainty.

Less hype. More implementation.

Both.

The Discovery Biology Stage bridges scientific strategy with operational execution — covering workflow integration, data readiness, AI deployment, organisational adoption, and the practical challenges of embedding AI into discovery environments.

Yes.

Expect a mix of talks, deployment stories, and live demonstrations from organisations already applying AI across discovery biology and early-stage drug discovery.

Sessions will focus on measurable impact, implementation lessons, workflow integration, and the practical realities of scaling AI in research environments.