Chaired by: Darren Green, Director of Computational 91AV, GSK
Sponsored by: Optibrium
SMi Group is proud to present its 3rd Annual AI in Drug Discovery Conference, taking place on the 14th and 15th March 2022 in London, UK.
With the recent pandemic highlighting the need for rapid drug discovery, AI has become an area of increased interest. This is driven by the ability to discover drugs through the use of machine and deep learning. The current challenges within the drug discovery industry include the significant time consumption and expenses involved. This conference will discuss the solutions to these problems with presentations and updates from leading industry experts.
AI in drug discovery is leading the way into a shorter, cheaper and more successful R and D era where compound generation is automated, drug synthesis is predictable and undruggable diseases are finally being targeted.
AI in drug discovery is becoming an integral part of the research and development area of treating diseases with more companies incorporating 'Big Data' and data scientists within their R and D teams. Although the AI in drug discovery area has grown rapidly over the past few years, those in the industry acknowledge that there is a long way to go. Collaboration and partnerships are the key to driving this area forward.
Join us at SMi's 3rd annual AI in Drug Discovery conference and explore the latest industry updates in: the selection of targets using AI, decision making within drug discovery and closing the loop on AI in drug discovery. Don't miss out on presentations from leaders within the field, giving insights into the latest industry advances and answering the big questions within AI in Drug Discovery.
Event Hashtag: #SMiAIDrugDis
Key Reasons to Attend:
- Discover the main topics of research within industry, with talks on decision making, target selection and closing the loop
- Engage with regulators about the guidance within machine learning and AI in Drug Discovery
- Learn about the new breakthroughs within clinical trials and the treatment of disease
- Explore the latest technologies in deep learning from leaders within the pharmaceutical industry.
- Discuss the impact of big data and how it applies to AI drug discovery within Pharma
Sponsored by: Optibrium
SMi Group is proud to present its 3rd Annual AI in Drug Discovery Conference, taking place on the 14th and 15th March 2022 in London, UK.
With the recent pandemic highlighting the need for rapid drug discovery, AI has become an area of increased interest. This is driven by the ability to discover drugs through the use of machine and deep learning. The current challenges within the drug discovery industry include the significant time consumption and expenses involved. This conference will discuss the solutions to these problems with presentations and updates from leading industry experts.
AI in drug discovery is leading the way into a shorter, cheaper and more successful R and D era where compound generation is automated, drug synthesis is predictable and undruggable diseases are finally being targeted.
AI in drug discovery is becoming an integral part of the research and development area of treating diseases with more companies incorporating 'Big Data' and data scientists within their R and D teams. Although the AI in drug discovery area has grown rapidly over the past few years, those in the industry acknowledge that there is a long way to go. Collaboration and partnerships are the key to driving this area forward.
Join us at SMi's 3rd annual AI in Drug Discovery conference and explore the latest industry updates in: the selection of targets using AI, decision making within drug discovery and closing the loop on AI in drug discovery. Don't miss out on presentations from leaders within the field, giving insights into the latest industry advances and answering the big questions within AI in Drug Discovery.
Event Hashtag: #SMiAIDrugDis
Key Reasons to Attend:
- Discover the main topics of research within industry, with talks on decision making, target selection and closing the loop
- Engage with regulators about the guidance within machine learning and AI in Drug Discovery
- Learn about the new breakthroughs within clinical trials and the treatment of disease
- Explore the latest technologies in deep learning from leaders within the pharmaceutical industry.
- Discuss the impact of big data and how it applies to AI drug discovery within Pharma
