Biological Intelligence Symposium

Biological Intelligence
Symposium

Biological Intelligence Symposium

New Models, New Data, and New Routes to Drug Discovery

New models, New Data,
and New Routes to Drug Discovery

New Models, New Data, and New Routes to Drug Discovery

June 5

237 Fulham Road

London

The next advances will come from models that learn from real biology in patients: the physics, geometry, dynamics and perturbational logic of cells, tissues and disease. This symposium brings together researchers from genetics, disease biology, AI and pharma to examine the data types and model classes most likely to drive new targets and therapeutics.

The next advances will come from models that learn from real biology in patients: the physics, geometry, dynamics and perturbational logic of cells, tissues and disease. This symposium brings together researchers from genetics, disease biology, AI and pharma to examine the data types and model classes most likely to drive new targets and therapeutics.

The next advances will come from models that learn from real biology in patients: the physics, geometry, dynamics and perturbational logic of cells, tissues and disease. This symposium brings together researchers from genetics, disease biology, AI and pharma to examine the data types and model classes most likely to drive new targets and therapeutics.

ABOUT

ABOUT

JUNE 5, 2026

Agenda

Agenda

Agenda

Sessions

Opening Remarks

  • Why AI Must Learn Real Biology

  • Challenges currently facing current AI approaches in drug discovery

  • The need for models trained on real biological structure, dynamics, and perturbation data

One

  • Learning Molecular Structure

  • Interpreting genetic variants using structural AI

  • Guiding therapeutic discovery

Lunch

  • 12.30 - 13.30

Two

  • Learning Cell Biology Sponsored by Revvity

  • AI approaches trained on high-content imaging and morphodynamics

  • Spatial organization and signalling dynamics

  • Capturing geometry, physics, and transitions of cells in health and disease

Coffee

  • 15.30 - 16.00

Three

  • Translating Biological AI to the Clinic

  • Predicting drug response and identifying patient subgroups

  • Integrating AI into drug discovery pipelines

  • Clinical development applications

Networking

  • 17.30 Onwards

Sessions

Opening Remarks

  • Why AI Must Learn Real Biology

  • Challenges currently facing current AI approaches in drug discovery

  • The need for models trained on real biological structure, dynamics, and perturbation data

One

  • Learning Molecular Structure

  • Interpreting genetic variants using structural AI

  • Guiding therapeutic discovery

Lunch

  • 12.30 - 13.30

Two

  • Learning Cell Biology Sponsored by Revvity

  • AI approaches trained on high-content imaging and morphodynamics

  • Spatial organization and signalling dynamics

  • Capturing geometry, physics, and transitions of cells in health and disease

Coffee

  • 15.30 - 16.00

Three

  • Translating Biological AI to the Clinic

  • Predicting drug response and identifying patient subgroups

  • Integrating AI into drug discovery pipelines

  • Clinical development applications

Networking

  • 17.30 Onwards

PRICING

Get tickets

ICR or Imperial

£0

Buy your ticket

Other Academic

£150

Buy your ticket

Industry Pharma & Biotech

£600

Buy your ticket

VC and investors

£1000

Buy your ticket

SPONSORS

We’re proud to partner with an outstanding group of forward-thinking organisations.

All sponsors

Placeholder logo
Placeholder logo
Placeholder logo
Placeholder logo
Placeholder logo
Placeholder logo
Placeholder logo
Placeholder logo
Placeholder logo
Abstract gradient image transitioning from dark to light shades of gray.

Become a sponsor

Get in touch

Get in touch

Get in touch

FAQ

FAQ

Still got questions? Feel free to reach out. We're happy to help.

Ask a question

Who is the Biological Intelligence Symposium for?

The Biological Intelligence Symposium is designed for entrepreneurs, biologists, technologists, and purpose-driven scientists who want to learn more about how AI is shaping biology. Whether you're a solo founder or a small team leader, you'll find inspiration, tools, and meaningful connections.

Where is the event taking place?

The Biological Intelligence Symposium will be held at the Institute of Cancer Research, Chelsea, London. The full address is 237 Fulham Road, SW3 6JB.

Will there be virtual access or recordings?

This is an in-person only event.

What is the cost to attend?