WELCOME TO THE DISCOVERY CHEMISTRY STAGE

WHAT TO EXPECT: 

AI is reshaping how molecules are designed, evaluated, and prioritised. The question is no longer whether to deploy it — it is how fast, and how well.

The Discovery Chemistry track puts you inside the decisions that matter: how the industry's disruptors are applying generative AI, computational chemistry, and multimodal data to accelerate candidate selection, optimise molecular properties, and reduce development risk.

Understand what is working. Identify where your pipeline gaps are. Deploy what is next.

The organisations operationalising AI across chemistry today will define the next generation of drug discovery.

DISCOVERY CHEMISTRY STAGE SPEAKERS:

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WHO ATTENDS:

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Sanofi
Bristol Myers Squibb
AstraZeneca
Pfizer
Roche
Merck
AbbVie
J&J

Expect candid discussions on:

AI-driven molecular design and optimisation

Generative chemistry and predictive modelling

Accelerating hit identification and lead optimisation

Integrating computational and medicinal chemistry workflows

Multimodal data in molecular discovery

AI-assisted property prediction and compound prioritisation

Scaling AI across chemistry and preclinical research

Reducing development risk through data-driven decision-making

Built for the teams scaling AI across molecular discovery.

Discover where AI is delivering measurable impact in chemistry

Learn how leading organisations are applying AI across molecular design, compound optimisation, and predictive modelling to accelerate discovery and improve decision-making.

Leave with practical strategies for implementation

Understand how teams are embedding AI into medicinal and computational chemistry workflows, integrating multimodal datasets, and operationalising AI across discovery environments.

Improve speed, precision, and confidence in molecular development

Explore how AI is helping organisations prioritise compounds faster, optimise molecular properties more effectively, and reduce uncertainty across early-stage drug discovery.

FAQ

The Discovery Chemistry Stage is designed for leaders across medicinal chemistry, computational chemistry, cheminformatics, AI, discovery research, and early-stage R&D within pharma, biotech, and life sciences organisations.

If you are applying AI to improve molecular discovery, optimise compound development, or scale chemistry workflows, this stage is built for you.

Discover how organisations are using AI to improve molecular design, compound prioritisation, predictive modelling, and decision-making across early-stage drug discovery.

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

Most events focus on future potential.

This stage focuses on operational application — how organisations are embedding AI into chemistry workflows today to accelerate discovery, improve candidate quality, and support faster decision-making.

Less hype. More implementation.

The Discovery Chemistry Stage bridges scientific strategy with operational execution — covering workflow adoption, AI deployment, infrastructure, computational capability, and the practical realities of integrating AI into chemistry and discovery environments.

Yes.

Expect a mix of talks, deployment stories, and demonstrations from organisations already applying AI across molecular discovery and chemistry workflows.

Sessions will focus on measurable impact, implementation lessons, workflow integration, and the practical realities of scaling AI across discovery chemistry.