AI for Pharma: Data, Infrastructure and Algorithms

Artificial Intelligence (AI) is transforming the pharmaceutical landscape – from early-stage drug discovery to clinical trials and manufacturing. However, unlocking its full potential depends not only on advanced algorithms, but also on high-quality data and robust digital infrastructure.

This FREE one-day discussion meeting (funded by EPSRC) brings together speakers from both industry and academia to explore the critical triad underpinning innovation in pharmaceutical AI. Through expert talks, panel discussions and networking opportunities, we aim to foster dialogue and collaboration on the following themes:

Data Readiness and FAIR Principles: Ensuring that pharmaceutical data is Findable, Accessible, Interoperable, and Reusable to power machine learning and AI tools.

Digital Infrastructure: the platforms and computational resources needed to manage, process and scale data-driven solutions in pharma.

AI Algorithms: State-of-the-art AI algorithms and their potentials for pharmaceutical applications.

The meeting will feature cross-sector perspectives, highlighting how the convergence of data science, digital infrastructure, and AI methodologies can accelerate pharmaceutical R&D. Whether you’re a researcher, data scientist, engineering and IT lead or strategist, this event offers insights into best practices and emerging technologies for integrating AI into R&D pipelines.

Host or Publisher Molecular Graphics and Modelling Society (MGMS)