Conference: Artificial Intelligence in Laboratories

Objectives

This conference aims to address the impact of Artificial Intelligence (AI) on pharmaceutical laboratories and explore AI applications in analytical processes, regulatory compliance, and quality control.

Background

Artificial Intelligence is transforming pharmaceutical laboratories by enhancing automation, data interpretation, and compliance monitoring. With the rise of machine learning, deep learning, and big data analytics, AI enables predictive analytics, anomaly detection, and process optimization, reducing human error and increasing efficiency. Regulatory authorities are increasingly focusing on these innovations to ensure AI implementation aligns with Good Laboratory Practice (GLP) and Good Manufacturing Practice (GMP) guidelines. This track will present case studies and discuss current trends, challenges, and opportunities for AI-driven laboratory operations

Target Audience

This conference is intended for professionals from pharmaceutical laboratories, analytical development, and quality control, including:

• Laboratory managers
• Analytical scientists
• Quality control and quality assurance professionals
• IT specialists
• Regulatory affairs and compliance experts

Target Audience

This conference will be of significant value to Laboratory managers, supervisors and analysts, Quality control managers, Heads of quality control, Qualified Persons (QPs), Analytical scientists, Senior laboratory staff and responsible authorities

This conference is also intended for employees in Quality Assurance and from contract laboratories. Furthermore, it is useful for service providers, such as contract research organisations and contract manufacturers.