10.5258/SOTON/AI3SD0160
Fleming, Thomas
Thomas
Fleming
AI3SD Video: Combining robotics and Machine Learning for accelerated drug discovery
University of Southampton
2021
Video
AI, AI3SD Event, Artificial Intelligence, Chemistry, Drug Discovery, Machine Intelligence, Machine Learning, Materials Discovery, ML, Scientific Discovery
Frey, Jeremy
Jeremy
Frey
https://orcid.org/0000-0003-0842-4302
University of Southampton
Kanza, Samantha
Samantha
Kanza
https://orcid.org/0000-0002-4831-9489
University of Southampton
Niranjan, Mahesan
Mahesan
Niranjan
https://orcid.org/0000-0001-7021-140X
University of Southampton
2021
en
https://youtu.be/AO91eH0Gx0c
mp4
Creative Commons Attribution 4.0 International
Artificial intelligence has an increasing impact on drug discovery and development, offering opportunities to identify novel targets, hit, and lead-like compounds in accelerated timeframes. However, the success of any AI/ ML model depends on the quality of the input data, and the speed with which in silico predictions can be validated in vitro. <br><br>The talk will cover laboratory automation and robotics and the benefits they offer in terms of quality and speed of data generation synergise with AI/ ML-powered drug discovery approaches. The talk will cover some of the general trends in the industry, and also highlight successfully implemented case studies that show the how the combination of robotics and AI/ ML lead to accelerated project timelines and superior research outputs.
Engineering and Physical Sciences Research Council
https://doi.org/10.13039/501100000266
EP/S000356/1
Artificial and Augmented Intelligence for Automated Scientific Discovery