AI in Drug Discovery USA 2024 Conference

Harnessing the power of machine learning to maximise investment in your drug development pipeline

October 21-22, 2024 - Boston, MA, United States

This year, for the first time ever, AI in Drug Discovery USA is in association with RNA Therapeutics USA to create Drug Discovery Week in Boston, taking place from October 21-24, 2024. This is an exciting opportunity for professionals in the pharmaceutical and biotech industries to unite and advance the future of drug discovery through AI and RNA innovation.

Why can't you afford to miss the AI Drug Discovery USA conference?

Artificial Intelligence (AI) has taken the lead in technological advancement across the pharmaceutical sector. It is expected to transform pre-clinical drug discovery through reducing costs by up to 40% and creating a market worth up to $50 billion in the next decade.

Are you ready for this transformative period?

Hear first-hand the latest AI advancements across the pharmaceutical sector directly from experts in the field and obtain strategies to support your operations at the highly anticipated AI in Drug Discovery conference.

Driven by a move towards personalised therapies and novel drug candidates, Artificial Intelligence (AI) has taken the lead in technological advancement across the pharmaceutical sector. Increased efficiency of the drug discovery process, through innovations including automation, in-silico modelling, and machine learning, accelerate growth in an ever-expanding field, focused on revolutionising modern healthcare.

Why should you attend?

Get ready for the highly requested AI in Drug Discovery Conference this October 2024 in the United States. In the interim since our last gathering in March 2024 in the UK, the industry has achieved a groundbreaking milestone – the first wholly AI-discovered and designed drug is now undergoing Phase 2 clinical trials.

Four compelling reasons as to why you can't miss out:
  • Gain insights from leading biotechs and big pharma on drug target selection
  • Explore neural networks with a focus on digital twins, new drug designs and in-silico modelling to expand your portfolio
  • Get the latest insights on the benefits of machine learning from molecule design to clinical trial selection, along with crucial patient-centric considerations.
  • Discuss best use and potential impact of Generative AI in light of the launch of Chat GPT
  • Join us as we navigate through the hype and unveil effective strategies to harness the AI revolution for achieving tangible and transformative outcomes in the realm of drug design and discovery.
Benefit from the insights of our diverse speakers, leveraging their expertise to propel the field forward into clinical trials and introduce transformative new drugs to the market.

Who should attend?

All companies wishing to get therapeutics to patients faster and thus extending healthy longevity for everyone.

Build your AI ecosystem combining internal and external resources and partners to discover new ways to treat diseases, design novel molecules, optimise pre-existing treatments, and reducing the cost & time of drug development.

Wish to share ideas, collaborate, and learn from successes and difficulties in both data science and drug discovery – fast-changing field that need interdisciplinary skills & experience.

Mature your company’s approach to AI and ML applications to hurdle the major challenges and avoid the pitfalls that caused previous failures in the first wave of initiatives. Benchmark your pipeline against the latest understanding of strengths and weaknesses in leveraging these tools.

Gain insight into the true nature of the major challenges – away from algorithms and tools, towards data and technical leadership.

Join us in October!

2024 Speakers

  • Alfie Brennan, Chief Scientific Officer, Evariste
  • Dante Pertusi, Director, Cheminformatics, GSK
  • Dr Anshul Kanakia, Director of Machine Learning, AstraZeneca
  • Dr Bino John, Director, Computational Biology, Cancer Immunology and Immune Modulation, Boehringer Ingelheim
  • Dr Christos A. Nicolaou, Senior Director, Digital Chemistry, Novo Nordisk
  • Dr Dmitriy Podolskiy, Associate Director and AI Drug Discovery, Astellas Pharma
  • Dr Joel Karpiak, Head of Protein Design & Informatics, GSK
  • Dr Kinga Bercsenyi, Senior Vice President of Business Development, Arctoris
  • Dr Martin Akerman, CTO & Co-Founder Envisagenics
  • Dr Petrina Kamya, President, Insilico Medicine Canada Inc and VP, Global Head of Platforms, Insilico Medicine
  • Dr Rabia Khan, Founder/CEO, Serna.bio
  • Dr Stephen MacKinnon, VP of Digital Chemistry, Recursion Pharmaceuticals
  • Dr Thierry Dorval, Head of Data Sciences & Data Management, Servier
  • Dr Vishnu Sresht, Director, Computational Chemistry and Machine Learning, Genentech
  • Karl Leswing, Executive Director, Machine Learning, Schrodinger
  • Khader Shameer, Executive Director and Global Head of AI-Driven Drug Discovery, Sanofi
  • Le Mu, PM and Tech Lead for Roche pRED-MLOps, Senior Scientist / Solution Architect, Roche Innovation Center
  • Matthew Welborn, Executive Director, Machine Learning, Iambic Therapeutics
  • Raya Stoyanova, Data Scientist, MLOps, Roche
  • Senior Representative, BenevolentAI

Please fill in your name and email to receive the Conference Agenda of this event.

Venue

Courtyard by Marriott Boston Downtown
275 Tremont St, 02116
Boston, MA, USA


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