The application of AI in pharmaceuticals is not merely a futuristic concept; it is a tangible reality reshaping the industry. AI technologies, particularly LLMs, can process vast amounts of data, identify patterns, and make predictions that were previously unimaginable. This capability is crucial for addressing the multifaceted challenges faced by drug discovery specialists.

To harness AI's full potential, pharmaceutical companies must build scalable frameworks that can accommodate burgeoning data volumes and evolving technological needs. A robust framework should be adaptable, integrating seamlessly with existing systems and capable of scaling with increasing data demands.

Explore the impact of AI in pharma with the EU's general-purpose AI code of practice. Learn best practices for innovation and regulatory compliance.

The EU AI Act is a landmark legislative proposal designed to regulate artificial intelligence, prioritising safety and the protection of fundamental rights. In this blog, we explore how organisations can navigate compliance, understand the broader implications of the Act, harness AI responsibly, and gain insights from two real-world case studies.

In this blog, we look at the role of AI in healthcare and how it is being used within the industry. The integration of AI into these fields is not just an enhancement; it signifies a fundamental shift in how medical practices and pharmaceutical operations are conducted.