Harness the Power of AI for Pharma & Healthcare

AI in pharma and healthcare has moved beyond the hype, entering a critical phase of adoption and scale. The focus is no longer on whether AI works; it’s about embedding it at scale to transform every stage of healthcare operations. This September, the Pharma IQ AI for Pharma and Healthcare Conference is set to redefine the future of healthcare innovation. Designed to tackle the industry’s most pressing challenges, this event is your gateway to actionable strategies and transformative solutions for scaling AI effectively.

We are thrilled to welcome an impressive line-up of 30+ of the most experienced and senior pharma and healthcare leaders. The stage will resonate with insights and experiences from renowned brands such as Sanofi,Syneos Health, Johnson & Johnson, Pfizer, MSD, Roche and GSK. Each speaker embodies innovation and will share both successful and unsuccessful AI implementations to navigate the path to effective adoption.

Be part of the conversation and collaborate with your peers. Together, we can harness the power of AI to redefine patient care and drive innovation in pharmaceuticals.

Don't miss this opportunity to join the AI revolution for Pharma & Healthcare!

Here’s a snapshot of early confirmed attendees for AI for Pharma & Healthcare 2025: Pfizer, AstraZeneca, Johnson & Johnson, GSK, Roche, Novartis, Sanofi, Bayer, Takeda, and more. Senior leaders across drug discovery, clinical trials, supply chain, and AI strategy will be in the room—offering a focused, high-level audience actively investing in AI solutions. This is your opportunity to connect with the pharma teams driving real-world adoption.

The rapid advancement of AI technology offers unprecedented opportunities for the pharmaceutical industry, where drug discovery moves at unprecedented speeds, clinical trials are streamlined for efficiency, and regulatory approvals are faster than ever before. However, sceptical of the "AI hype" pharma leaders need a clear path to AI integration.

This September, Pharma IQ is bringing together key AI stakeholders from big pharma responsible for drug discovery, clinical trials and supply chain to meet with key technology consultancies and vendors who will share practical applications and case studies.

Amongst the sea of AI events, AI for Pharma & Healthcare is uniquely positioned, there will be 3 streams consisting of drug discovery, clinical trials and supply chain to ensure that sponsors can showcase their expertise to a targeted audience from our three streams. The sponsorship prospectus has more information on the audience, key audience drivers and sponsorship package opportunities.

Learn how AI enhances target identification, lead optimization, data integration, predictive analytics, and automation. Discover case studies from BenevolentAI, AstraZeneca, and more. Connect with industry leaders and innovators. Enhance your R&D processes and maximize ROI with cutting-edge AI applications.

The EU AI Act is a comprehensive regulation designed to ensure AI systems are safe, transparent, and respectful of fundamental rights. It categorises AI systems based on their risk levels—ranging from minimal risk to high risk—and establishes specific requirements for each category. For the pharmaceutical and healthcare industries, this means greater scrutiny, enhanced data quality, robust compliance frameworks, and significant operational adjustments. As the industry increasingly relies on AI for drug discovery, clinical trials, and patient care, understanding and adapting to the EU AI Act is crucial for compliance and innovation. This guide to the EU AI Act will ensure that you understand how to prepare for its full implementation while remaining at the forefront of innovation.

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Introduction:

The EU AI Act represents a significant regulatory development aimed at harmonising rules for Artificial Intelligence (AI) within the European Union. This legislation is designed to address the risks associated with AI, ensuring its safe and ethical deployment. For the pharmaceutical and healthcare sectors, understanding the implications of the AI Act is crucial, given the industry’s increasing reliance on AI for drug discovery, clinical trials, and patient care.

What is the EU AI Act?

The EU AI Act is a comprehensive regulation designed to ensure AI systems are safe, transparent, and respectful of fundamental rights. It categorises AI systems based on their risk levels—ranging from minimal risk to high risk—and establishes specific requirements for each category.

High-risk AI systems, such as those used in healthcare, must comply with stringent standards to mitigate potential harms and biases. AI systems that present unacceptable risks, such as real-time biometric identification in public spaces, are banned outright (DW, 2024) (Reed Smith LLP, 2024).

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Discover how Artificial Intelligence (AI) is revolutionising pharmaceutical supply chains, enhancing operational efficiencies from raw material sourcing to final product delivery. This infographic delves into the key areas where AI is making a significant impact, including demand forecasting, regulatory compliance, and risk management. Download to explore real-world applications and the actionable steps companies can take to seamlessly integrate AI.

Rajvir Madan, Chief Digital and Information Technology Officer, Arcutis Biotherapeutics, shares his groundbreaking session on harnessing the power of AI in pharmaceutical innovation at the AI in Pharma & Healthcare Summit 2024.

This compelling case study, Raj Madan demonstrates how AI tools can systematically identify new drug development opportunities, repurpose existing targets, and create a comprehensive therapeutic landscape, all while validating what you already know and revealing what you don't. This session isn't about hypothetical AI potential, it's about actionable implementation that delivers measurable results for R&D and Business Development teams today.

Artificial Intelligence (AI) is transforming the landscape of clinical trials, significantly enhancing patient recruitment and retention processes. This article explores how AI is being utilised to improve these critical aspects of clinical trials, ensuring more efficient, cost-effective, and successful outcomes.