Past event: AI for Pharma & Healthcare Summit 2024
Hype To Reality: AI Implementation Across The Pharma Value Chain, From Discovery To Delivery
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This page shows historical information on the AI for Pharma & Healthcare Summit 2024, held on September 24-26, 2024 in Amsterdam,
Netherlands
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Join us for an exploration of accelerating drug development, streamlining clinical trials and enhancing supply chain efficiency to elevate patient care across the entire value stream
Imagine a world where drug discovery moves at unprecedented speeds, clinical trials are streamlined for efficiency, and regulatory approvals are faster than ever before. Extend that vision to manufacturing and supply chain processes enhanced by machine learning and predictive analytics to ensure that treatment reaches patients not only quicker but also more safely and reliably. This is the future of pharmaceuticals, where advanced technology enhances every facet of patient care.
The transformative potential of AI is reflected in the sector's financial outlook: the market for AI in Pharma is expected to grow exponentially, from $3.05 billion to $18.06 billion by 2029. Yet, amid the excitement, a healthy dose of scepticism about the "AI Hype" exists. Pharma professionals understand the power of the technology, but translating potential into reality requires navigating significant challenges. The AI for Pharma & Healthcare Summit aims to address these challenges by going beyond the hype, presenting real-world AI use cases in drug discovery, clinical trials and supply chain / manufacturing.
Conference Focus Areas
AI as a Practical Tool: Dive into AI implementation in Pharma, from data-sharing challenges to cost justifications
Enhancing Drug Discovery: Explore how AI is accelerating drug discovery and development
Optimising Clinical Trials: Discover how AI can streamline trials and improve data analysis
Supply-Chain Transformation: Learn how AI is revolutionising logistics to ensure timely and efficient drug delivery
Current Statistics on AI for Pharma & Healthcare
95% Of pharmaceutical companies reported that they are investing in AI capabilities.
70% That's how much AI could reduce the cost of discovering new drugs.
$187.95Bn The estimated growth of the AI in healthcare market by 2030.
88% Of pharmaceutical companies see AI as crucial for achieving operational efficiencies.
It's beneficial to hear stories and solution from my counterparts from various companies
Very valuable to get an insight what other companies are planning, what challenges they have and discuss possible solutions
Great value event, enjoyed networking and the latest thinking from like minded professionals
Speaker Faculty
Dr Bulent Kiziltan, VP, Global Head of AI & Computational Sciences, Novartis
Zhaoling Meng, AVP, Global Head Clinical Modeling & Evidence Integration, Digital and Data Sciences, Sanofi
Fausto Artico, Global Head of Data Science, GSK
Shameer Khader, Executive Director - Precision Medicine and Computational Biology, Sanofi
Zayed Yasin, Healthcare Industry Lead, Writer
Guglielmo Iozzia, Associate Director – Manufacturing IT & Modelling Data Science, MSD
Rajvir Madan, Chief Digital and Information Technology Officer, Arcutis Biotherapeutics
Jordi Escayola, Head of Advanced Analytics, Artificial Intelligence and Data Science (Director), Sanofi CHC
Sam Kay, Vice President for Pharma, Basil Systems
Thirupathi Pattipaka, Global Director, DataScience & AI, Novartis
Emilio Lapiello, Head of Data Science, Syneos Health
Harry Chan, Assistant Vice President, IT (BI, Data Warehouse, ML/AI, Data Science, RPA), IHH Healthcare
Marta Siemaszko, Global Operations Director, Data Privacy Digital and AI, Novartis
Christos Varsakelis, Associate Director of AI & ML, Janssen
Dr Zara Ghazoui, Director of Data Strategy, Data Science & AI, AstraZeneca
Noam Shamir, Senior Vice President Supply Chain, Teva Pharmaceuticals
Nishtha Jain, Head of Innovation and Digital Technology, Takeda
Émilie Louvet, AstraZeneca, Director Regulatory Data Products, Digital Regulatory, Regulatory Affairs
Jonathan Crowther, Head, Predictive Analysis, Pfizer
Cedric Verschueren, Head of Ethics & Business Integrity, Sanofi