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Overview

This Royal Society conference will bring together stakeholders from industry and academia to explore advances in machine learning and artificial intelligence for biological research, drug discovery and medicine. Whilst these computational technologies are already transforming biological, clinical and pharmaceutical research, significant obstacles remain, in particular around skills, financing, and accessibility. Concerted industry/academia collaboration will be required to address these challenges.

Following a keynote address from Dr Demis Hassabis CBE FREng FRS (DeepMind), three sessions around biology, chemistry and medicine will include talks on machine learning for target discovery and 'omic technologies, AI-based chemoinformatics, and computational clinical trial design, as well as the classical prediction of protein folding.

The conference will conclude with a panel discussion to address how to reintegrate data from specialised biological subdisciplines, reflect on the barriers faced by researchers when accessing and using machine learning technologies, and consider strategies to drive continued interdisciplinary innovation.

About the conference series

Supported by AstraZeneca, the meeting forms part of the Royal Society’s Transforming our future series in the life sciences. These meetings are unique, high-level events that address the scientific and technical challenges of the next decade. Each conference features cutting-edge science from industry and academia and brings together leading experts from the scientific community, including regulatory, charity and funding bodies.

Attending this event

  • This will be a hybrid event
  • In-person attendance is invitation only
  • Please register to attend online
  • For the programme, scroll down and click on the arrows to see the speakers and abstracts for their talks
  • The Royal Society has an acceptable use policy for all online events, and we expect our users to abide by these guidelines
  • For any queries or accessibility requirements, please email the Industry Team.

Organisers

Schedule

09:00-09:05
Opening remarks

Speakers

Sir Adrian Smith

President, the Royal Society

09:05-09:45
Keynote address

Speakers


Chair

Dr Claus Bendtsen

AstraZeneca

09:45-10:05
Using AI and ML for target discovery

Speakers

10:05-10:25
AI-based image analysis

Speakers

Imran Haque

Recursion

10:25-10:45
Machine learning for 'omics

Speakers

Walter Kolch

University College Dublin

10:45-11:10
Q&A and discussion

Speakers

Walter Kolch

University College Dublin


Chair

Dr Harren Jhoti FMedSci FRS

Astex Pharmaceuticals

11:35-11:55
The impact of AI and machine learning in chemoinformatics on drug discovery

Speakers

Professor Andreas Bender

University of Cambridge and Pangea Botanica

11:55-12:15
Protein structure prediction and protein/ligand docking using AI

Speakers

Dr Lucy Colwell

University of Cambridge

12:15-12:35
The application of machine learning in lead discovery

Speakers

Professor Charlotte Deane MBE

University of Oxford

12:35-13:00
Q&A and discussion

Speakers

Professor Andreas Bender

University of Cambridge and Pangea Botanica

Professor Charlotte Deane MBE

University of Oxford

Dr Lucy Colwell

University of Cambridge


Chair

Professor Mihaela van der Schaar

University of Cambridge

14:00-14:20
Digital health

Speakers

Aditya Nori

Microsoft Health Futures

14:20-14:40
Designing clinical trials using AI
14:40-15:00
Biomarker identification using AI

Speakers

Professor Daphne Koller

Stanford Unviersity, US

15:00-15:30
Q&A and discussion

Speakers

Professor Daphne Koller

Stanford Unviersity, US

Aditya Nori

Microsoft Health Futures


Chair

Professor Mihaela van der Schaar

University of Cambridge

Panel discussion

Speakers

Jia-Yi Har

Cathay Capital

Dr Eoin McKinney

University of Cambridge

Dr Thomas Callender

University College London


Chair

Sir Adrian Smith

President, the Royal Society

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