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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.

Integrating artificial intelligence (AI) into healthcare redefines how drugs are developed, clinical trials are conducted, and therapies reach patients. This article delves into how AI is transforming the world of pharmaceuticals, from accelerating drug discovery to personalising treatment options.

With the global AI pharma market projected to soar from $3.05 billion to $18.06 billion by 2029, this is the perfect time to explore how this cutting-edge technology is shaping the future of healthcare. But beyond the excitement lies the critical challenge of turning AI’s potential into real-world solutions.

Download this article to learn more about:

• AI in Drug Discovery: Learn how AI-powered algorithms are reducing costs and expediting timelines, with real-world examples of groundbreaking advancements.
• Precision Medicine and Genetics: See how AI is decoding human DNA to deliver personalised treatments tailored to individual patients.
• Challenges in AI Adoption: Understand the hurdles in data accessibility, overfitting, and validation, and how industry leaders are tackling these obstacles.

Download now to understand how AI is transforming the journey from drug discovery to patient care, with practical insights for healthcare professionals, innovators, and business leaders.

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.

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.

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.