Past event: AI for Pharma & Healthcare Summit 2024

Hype To Reality: AI Implementation Across The Pharma Value Chain, From Discovery To Delivery

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

Operations Manager, Pelton Shepherd Industries

Very valuable to get an insight what other companies are planning, what challenges they have and discuss possible solutions

Senior Manager Clinical Supply Optimisation Servcies CH & Asia, ThermoFisher

Great value event, enjoyed networking and the latest thinking from like minded professionals

Director, Clinical Supply Systems, Janssen

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
  • Joao Goncalo Nascimento, Performance Analyst, Pfizer
  • Tony Young, National Clinical Lead for Innovation, NHS England
  • Amine Hamdi, Automation & AI Business Partner, Roche
  • Kerry Sheehan, AI Policy Lead - AI Taskforce, UK Govt
  • Ghaith Sankari, Head of Global Digital Health & Data Science, Bayer
  • Marco Palladino, Global Data Protection Officer & AI Trust Head Council, Takeda
  • Igor Menghini, Senior Director of Product, Roche
  • Raul Mora, Senior Strategic Operational Intelligence Lead/Senior Development Excellence Lead, Roche
  • Nikita Sharma, Global Clinical Sciences & Operations Innovation Manager, UCB
  • Ian Pepper, Director Technological Innovation, Former Novartis
  • Katriona Brooksbank, Innovation Lead, NHS Greater Glasgow and Clyde
  • Paula Salme Sandrak, Product Strategies - dHealth & Health AI, Bayer
  • Bjoern Rath, Independent Supply Chain Consultant & Sr. Economics Lecturer, GS1
  • Dr. Mo Khodadadi, Global Head of AI & Data, Unilabs
  • Richard Dasselaar, Digital Transformation & Strategy Leader, Modern Dental Group
  • Maximillian Wozniak, Head of AI & Innovation, University Clinical Hospital in Wroclaw
  • Neil Ewington, Founder, AI Ready
  • Nataraj Dasgupta, VP, Advanced Analytics & Data Science, RxDataScience, a Syneos Health Company

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

Venue

Amsterdam Marriott Hotel
Stadhouderskade 12, 1054 ES
Amsterdam, Netherlands

Group Rate: We have partnered with Hotelmap to offer discounted rates at nearby hotels, please reserve your room by clicking on this reservation link.

Event details
Organizer : IQEU
Event type : Conference
Reference : ASDE-25107