AI in Drug Discovery Conference 2020

Name: AI in Drug Discovery Conference 2020
Start: 2020-03-16T00:00:00
End: 2020-03-18T00:00:00

16 Mar 2020 to 17 Mar 2020

20 November 2019

16:15

Leveraging machine learning – discovery to the next level!

AI in Drug Discovery

SMi group presents the launch of the inaugural AI in Drug Discovery conference taking place in London on 16th-17th March 2020.

AI-empowered machine learning technologies hold the potential of reducing drug discovery associated costs by US$ 70 billion in the upcoming 10 years. With an estimated +39% CAGR, AI in drug discovery is leading the way into a shorter, cheaper and more successful R&D era where compound generation is automated, drug synthesis is predictable and undruggable diseases are finally being targeted.

The presence of AI in drug discovery is tangible with the majority of drug discovery scientist already working with AI-enabled platforms using machine learning and deep learning, neural networks and natural language processing. However, there is a long journey ahead of optimising AI-human connections and understanding the full potential of AI-enabled tools and platforms.

BENEFITS OF ATTENDING:

Listen to case studies form industry leader pharmaceutical and biotechnology that have already incorporated AI into their work

Explore how Deep Learning Methods can be leveraged for compound screening, de novo design, multiparameter optimisation/ ADME toxicity property predictions, chemical synthesis route predictions

Discover strategies for overcoming data-related challenges such as lack of consistent and quality data at the heart of AI and strategies for improving data access

Define unique discovery approaches such as fragment-based drug discovery and network-driven drug discovery

Join us at SMi’s inaugural AI in Drug Discovery 2020 Conference and explore the latest AI-enabled approaches for lead compound screening, multi parameter optimisation, disease modelling, drug synthesis and design.

To register please visit: www.AI-indrugdiscovery.com/epmwl

PLUS, one interactive half-day post-conference workshop

Practical application of predictive properties in drug design, Workshop Leader: Robert Young, Blue Burgundy Ltd.