Implementing AI and ML to Accelerate Drug Discovery and Increase Success Rates
23 February 2023
Marriott Boston Quincy, Boston, MA
The AI Drug Discovery Summit has already taken place. Visit our website or email info@amg-world.co.uk for more info on other events of interest.
Drug discovery is a notoriously slow and expensive process, with the average timelines taking ten years and average costs of $2.6 billion. This has forced the pharmaceutical sector to streamline their approach and seek new and emerging technology to make the process quicker, cheaper and more efficient.
However, this transition can be difficult due to lack of skills and knowledge, resistance to change, inadequate infrastructure, and data availability.
With this in mind, the AI Drug Discovery Summit will provide the necessary tools to develop the AI roadmap, overcome common obstacles and integrate AI Technology into the drug discovery process.
AI Drug Discovery 2023 Expert Speakers
Peter Bloomingdale
Senior Associate Director of Pharmacometrics
Boehringer Ingelheim
Peter Henstock
Machine Learning & AI Lead: Combine AI, Software Engineering, Statistics & Visualization
Pfizer
Vasanth Thirugnanam
Associate Director Data Science
The Janssen Pharmaceutical Companies of Johnson & Johnson
Zhiyong (Sean) Xie
Director, Statistical Learning and Artificial Intelligence
Pfizer
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Attending this event will enable you to:
- Develop strong AI divisions and build infrastructure to support AI/ML, R&D, statistical and data functions
- Define an effective data analytics strategy that will offer deeper insights, enhance decision making and improve the accuracy of discovery
- Change mindsets, educate the workforce, and upskill employees to instil a culture of innovation
- Align your strategy with the evolving vendor landscape to create strong partnership-driven relationships with solutions providers
- Streamline interdepartmental communication, agility, and effectiveness with interdisciplinary skills in the business
Who You Will Meet:
VPs, Directors, Heads, Managers and Leads from:
- AI / ML
- Data Scientists / Technologists
- Informatics
- Pharma Discovery / Drug Discovery
- Research & Development
- Digital Health
- Computational Biologists
- Statisticians / Biostatistics
- Principal Scientists
Our sponsors include technology, service and solution providers specializing in:
- AI / ML Platforms
- Advanced Analytics
- Computation Software / Drug Discovery Software
- Biotechnical Tools / Lab Access
- Asset Development Partnerships
- Patient Experience Management Platforms / Mobile & Web Applications
- Advisory and Professional Services
2023 Sponsors
Get in touch to be positioned as an industry expert amongst the most prominent and influential players in the development of AI and ML.
2023 Media Partners
Testimonials
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Identifying Astronaut Medication Needs Using AI/ML
Astronauts’ medical needs are significantly different to many of our own, owing to their unique environment. Unique challenges including disrupted sleep cycles, constant weightlessness, and radiation can all affect their health. With space travel on the rise, and new explorations to Mars and beyond in the pipeline, how can we ensure astronaut’s health needs are… Read more »
AI Drug Discovery Sponsorship Pack
Complete the form below to view the sponsorship information for the AI Drug Discovery Summit Name First Last Job Title Organization(Required) Email(Required)
AI in Drug Discovery: Hype or Reality Virtual Roundtable
Complete the form to view this complimentary recording from the AI in Drug Development Virtual Roundtable on July 26, 2022 and explore the opportunities and challenges associated with adopting AI and ML in translational research and drug discovery. Panelists include: Peter Henstock, Machine Learning & AI Technical Lead: Combine AI, Software Engineering Statistics & Visualization,… Read more »
