Artificial Intelligence in action
We also heard from research collaborations already applying AI to facilitate remote working practices and ‘Biology 2.0’, combining machine-learning, robotics and biology, to deliver drug discovery of tomorrow…
Hacking Human Biology: The Power of Predictive AI in Life Science and Drug R&D
Presentation given at CogX 2019, on the health stage. Polina Mamoshina; Senior Research Scientist, Insilico Medicine, University of Oxford Oliver Backhouse; VP Strategy, Precision Medicine and Genomics, AstraZeneca Barbara Domayne-Hayman; Entrepreneur in Residence, The Francis Crick Institute Parker Moss; Chief Business Officer, OWKIN Jorge Cardoso; Senior Lecturer in AI medical imaging, King's College London
CogX is hosted by Charlie Muirhead Co-Founder and CEO, and Co-Founder Tabitha Goldstaub.
Find out about CogX 2021
Derisking research and development
Medicines discovery innovators, Intelligent OMICS, supported by Arctoris and Medicines Discovery Catapult, are applying artificial intelligence to find new disease ‘drivers’ and candidate drugs for lung cancer. This collaboration, backed by Innovate UK, will de-risk future R&D projects and also demonstrate new cost and time-saving approaches to drug discovery.
Medicines discovery innovators, Intelligent OMICS, supported by Arctoris and Medicines Discovery Catapult, are applying artificial intelligence to find new disease ‘drivers’ and candidate drugs for lung cancer. This collaboration, backed by Innovate UK, will de-risk future R&D projects and also demonstrate new cost and time-saving approaches to drug discovery. Analysing a broad set of existing biological information, previously hidden components of disease biology can be identified which in turn lead to the identification of new drugs for development. This provides the catalyst for an AI-driven acceleration in drug discovery and the team has just won a significant Innovate UK grant in order to prove that it works.
In silico drug target discovery
Intelligent OMICS, the company leading the project, use in silico (computer-based) tools to find alternative druggable targets. They have already completed a successful analysis of cellular signalling pathways elsewhere in lung cancer pathways and are now selectively targeting the KRAS signalling pathway.
As Intelligent OMICS’ technology identifies novel biological mechanisms, Medicines Discovery Catapult will explore the appropriate chemical tools and leads that can be used against these new targets, and Arctoris will use their automated drug discovery platform in Oxford to conduct the biological assays which will validate them experimentally. Working together, the group will provide druggable chemistry against the entire in silico pipeline, offering new benchmarks of cost and time effectiveness over conventional methods of discovery.
Neural network algorithms remodel known pathways
“Much has been written about the wonders of artificial intelligence and its potential in healthcare. Our newsflows are full of details of AI applications in process automation, image analysis and computational chemistry. The DeepMind protein folding breakthrough has also hit the headlines recently as a further AI application. But what does Intelligent OMICS do that is different?”
“By analysing transcriptomic and similar molecular data our neural networks algorithms re-model known pathways and identify new, important targets. This enables us to develop and own a broad stream of new drugs. Lung cancer is just the start – we have parallel programs running in many other areas of cancer, in infectious diseases, in auto-immune disease, in Alzheimer’s and elsewhere.”
“We have to thank Innovate UK for backing this important work. The independent validation of our methodology by the highly respected cheminformatics team at MDC coupled with the extraordinarily rapid, wet lab validation provided by Arctoris, will finally prove that, in drug discovery, the era of AI has arrived.”
Dr Simon Haworth, Chief Executive Officer, Intelligent OMICS
The next stage in drug discovery evolution
“We are thrilled to combine our strengths in robotics-powered drug discovery assay development and execution with the expertise in machine learning that Intelligent OMICS and Medicines Discovery Catapult possess. This unique setup demonstrates the next stage in drug discovery evolution, which is based on high quality datasets and machine intelligence. Together, we will be able to rapidly identify and validate novel targets, leading to promising new drug discovery programmes that will ultimately benefit patients worldwide.”
Dr Martin-Immanuel Bittner, Chief Executive Officer, Arctoris
“Computational based approaches allow us to explore a top-down approach to identifying novel biological mechanisms of disease, which critically can be validated by selecting the most appropriate chemical modulators and assessing their effects in cellular assay technologies.”
“Working with Intelligent OMICS and with support from Arctoris we are delighted to play our part in laying the groundwork for computer-augmented, automated drug discovery. Should these methods indeed prove fruitful, it will be transformative for both our industry and patients alike.”
Prof John P Overington, Chief Informatics Officer, Medicines Discovery Catapult
If this validation is successful, the partners will have established a unique pipeline of promising new targets and compounds for a specific pathway in lung cancer. But more than that they will also have validated an entirely new drug discovery approach which can then be further scaled to other pathways and diseases.
Remote clinical trials
"Data collection is a huge problem for clinical trials. Right now, almost all of it happens at the research centre running the trial and it is slow and it’s expensive. With AI technologies, we can run site-less clinical trials where we can remotely collect the vast majority of data, potentially even 100% of it. The move to remote clinical trials is a big shift, as you can collect a lot more data, a lot more easily, and from a lot more people. Plus, you can also recruit and screen patients remotely. That means you can finish a trial, from A to Z, in almost half the time. And then there’s COVID-19. We’ve been involved in national services in the UK, Germany and UAE and now with the world’s largest vaccine campaigns we are getting involved in studies that can only happen at the speed and scale needed because of AI."
Dan Vahdat, CEO and Founder, Huma