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AI3SD Video: New Trends in Drug Discovery – Robotics & AI

AI3SD Video: New Trends in Drug Discovery – Robotics & AI
AI3SD Video: New Trends in Drug Discovery – Robotics & AI
The drug discovery ecosystem is undergoing transformational change. New technologies have an increasing impact on how drugs are being discovered and developed, including in particular Artificial Intelligence and robotics. A critical precondition for successful development of AI applications is having access to large amounts of structured, annotated, machine-learnable data. The talk will cover how recent advances in laboratory automation and robotics enable the generation of biomedical data at scale, providing the most critical input for AI systems. The talk will present real-world case studies, showing how leading AI drug discovery firms benefit from full automation of their discovery processes, delegating experiment execution to advanced robotics, and allowing for projects to move to the next stage faster and more efficiently.
AI, AI3SD Event, Artificial Intelligence, Chemistry, Drug Discovery, Machine Intelligence, Machine Learning, ML, Scientific Discovery
Immanuel-Bittner, Martin
7b20b24b-8df1-43d2-b916-b8ae2baef1d6
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
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Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Immanuel-Bittner, Martin
7b20b24b-8df1-43d2-b916-b8ae2baef1d6
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84

Immanuel-Bittner, Martin (2020) AI3SD Video: New Trends in Drug Discovery – Robotics & AI. Kanza, Samantha, Frey, Jeremy G., Niranjan, Mahesan and Hooper, Victoria (eds.) AI3SD Winter Seminar Series, , Online. 18 Nov 2020 - 21 Apr 2021 . (doi:10.5258/SOTON/P0086).

Record type: Conference or Workshop Item (Other)

Abstract

The drug discovery ecosystem is undergoing transformational change. New technologies have an increasing impact on how drugs are being discovered and developed, including in particular Artificial Intelligence and robotics. A critical precondition for successful development of AI applications is having access to large amounts of structured, annotated, machine-learnable data. The talk will cover how recent advances in laboratory automation and robotics enable the generation of biomedical data at scale, providing the most critical input for AI systems. The talk will present real-world case studies, showing how leading AI drug discovery firms benefit from full automation of their discovery processes, delegating experiment execution to advanced robotics, and allowing for projects to move to the next stage faster and more efficiently.

Video
AI3SD-Winter-Seminar-Series-DrugDiscovery-MartinImmanuelBittner-AI3SD - Version of Record
Available under License Creative Commons Attribution.
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More information

Published date: 2 December 2020
Additional Information: Martin-Immanuel Bittner MD DPhil is the Chief Executive Officer of Arctoris, the world's first fully automated drug discovery platform that he cofounded in 2016. He graduated as a medical doctor from the University of Freiburg in Germany, followed by his DPhil in Oncology as a Rhodes scholar at the University of Oxford. Martin has extensive research experience covering both clinical trials and preclinical drug discovery and is an active member of several leading cancer research organisations, including EACR, AACR, and ESTRO. In recognition of his research achievements, he was elected a member of the Young Academy of the German National Academy of Sciences in 2018.
Venue - Dates: AI3SD Winter Seminar Series, , Online, 2020-11-18 - 2021-04-21
Keywords: AI, AI3SD Event, Artificial Intelligence, Chemistry, Drug Discovery, Machine Intelligence, Machine Learning, ML, Scientific Discovery

Identifiers

Local EPrints ID: 448782
URI: http://eprints.soton.ac.uk/id/eprint/448782
PURE UUID: 37ccc1ef-f264-4f54-8b4b-a70cfa6fa01a
ORCID for Samantha Kanza: ORCID iD orcid.org/0000-0002-4831-9489
ORCID for Jeremy G. Frey: ORCID iD orcid.org/0000-0003-0842-4302
ORCID for Mahesan Niranjan: ORCID iD orcid.org/0000-0001-7021-140X

Catalogue record

Date deposited: 05 May 2021 16:50
Last modified: 13 Dec 2021 03:29

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Contributors

Author: Martin Immanuel-Bittner
Editor: Samantha Kanza ORCID iD
Editor: Jeremy G. Frey ORCID iD
Editor: Mahesan Niranjan ORCID iD
Editor: Victoria Hooper

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