BEGIN:VCALENDAR
PRODID:-//github.com/rianjs/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VEVENT
DESCRIPTION:Artificial Intelligence (AI) is leading technological advancem
 ents in the pharmaceutical sector\, poised to transform pre-clinical drug
  discovery by reducing costs by up to 40% and creating a market valued at
  up to $50 billion in the next decade. This transformative period is upon
  us\, and the AI in Drug Discovery conference offers a unique opportunity
  to hear directly from experts and gain strategies to enhance your operat
 ions.\n\nScheduled for October 2024 in the United States\, the AI in Drug
  Discovery Conference comes after a successful event in March 2024 in the
  UK. Since then\, the industry has achieved a groundbreaking milestone: t
 he first wholly AI-discovered and designed drug is now in Phase 2 clinica
 l trials.\n\nThe conference is driven by the industry's shift towards per
 sonalized therapies and novel drug candidates. Innovations in automation\
 , in-silico modeling\, and machine learning are increasing the efficiency
  of the drug discovery process\, propelling growth in this expanding fiel
 d and revolutionizing modern healthcare.\n\nWhy Attend?\n\n1. Gain valuab
 le insights from leading biotechs and major pharmaceutical companies on d
 rug target selection.\n\n2. Explore neural networks\, digital twins\, new
  drug designs\, and in-silico modeling to expand your drug portfolio.\n\n
 3. Understand the benefits of machine learning from molecule design to cl
 inical trial selection\, with a focus on patient-centric considerations.\
 n\n4. Discuss the best uses and potential impacts of Generative AI\, espe
 cially in light of the launch of Chat GPT.\n\nThis conference will help y
 ou navigate through the hype surrounding AI and reveal effective strategi
 es to harness its power for achieving tangible and transformative outcome
 s in drug design and discovery. Benefit from the expertise of diverse spe
 akers who are at the forefront of AI applications in the pharmaceutical s
 ector\, pushing the field towards clinical trials and introducing new\, t
 ransformative drugs to the market.\n\nWho Should Attend?\n\nThe conferenc
 e is ideal for companies aiming to expedite the delivery of therapeutics 
 to patients\, thereby extending healthy longevity. Attendees will learn h
 ow to build an AI ecosystem by combining internal and external resources 
 and partners to discover new treatment methods\, design novel molecules\,
  optimize existing treatments\, and reduce the cost and time of drug deve
 lopment.\n\nCollaboration and Learning\n\nShare ideas\, collaborate\, and
  learn from both successes and challenges in data science and drug discov
 ery—a fast-changing field that requires interdisciplinary skills and expe
 rience. Mature your company's approach to AI and machine learning applica
 tions to overcome major challenges and avoid pitfalls that have hindered 
 previous initiatives. Benchmark your pipeline against the latest understa
 ndings of the strengths and weaknesses in leveraging these tools.\n\nKey 
 Takeaways:\n\n- Insight into the true nature of major challenges in AI\, 
 focusing on data and technical leadership rather than just algorithms and
  tools.\n\n- Strategies to mature your AI and ML applications to overcome
  hurdles and avoid past failures.\n\n- Collaborative opportunities to lea
 rn and share experiences with industry leaders and peers.\n\nJoin us this
  October for the AI in Drug Discovery Conference and prepare to be part o
 f the AI revolution in pharmaceutical development.\n\n&nbsp\;\n\nTime: 8:
 00 AM - 4:30 PM\n
DTEND:20241022T163000
DTSTAMP:20260512T231937Z
DTSTART:20241021T080000
LOCATION:Courtyard Boston Downtown\, 275\, Tremont Street\, Boston\, Massa
 chusetts\, 02116\,
SEQUENCE:0
SUMMARY:Artificial Intelligence (AI) is leading technological advancements
  in the pharmaceutical sector\, poised to transform pre-clinical drug dis
 covery by...
UID:b2b19ab2-6018-4e2a-b527-5715cef94146
END:VEVENT
END:VCALENDAR