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Data and AI

Leading trustworthy AI in life sciences

Artificial intelligence (AI) is disrupting the pharmaceutical industry, promising considerable time and cost savings, from research to bringing new drugs to market

However, its adoption raises crucial questions about model safety, robustness, ethics, and regulatory compliance. In response to these challenges, the concept of “trustworthy AI” is emerging as a necessity to ensure the responsible development and use of this technology.

To address these challenges, the European AI Act which came into effect from 1st August 2024, introduces a series of new requirements aimed at ensuring the safety of people and property. It also encourages innovation around testing techniques to better manage bias and other risks associated with AI development. Moreover, this legislative text also provides for enhanced technical documentation to enable compliance assessment on multiple aspects, such as robustness, transparency, and performance monitoring of developed AI systems, including post-deployment. Similar trends are emerging globally, with specific adaptations to the pharmaceutical and life sciences industries at national and regional levels.

Capgemini has taken the lead in this transition by anticipating these regulatory aspects and closely collaborating with our clients to develop a platform compliant with European AI legislation. By incorporating an approach specifically tailored to the regulated life sciences sector, we ensure that its solutions comply not only with general AI requirements, but also with the rigorous standards and best practices specific to this industry.

Leading trustworthy AI in life sciences: Part 1 & Part 2

Part one of this two-part series explores the leadership required to integrate, master, and comply with trusted AI in the life sciences. Part two discusses recommendations and best practices for deploying trusted AI in this field.

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Meet our experts

Malik Belattar

Director, Life Sciences, Capgemini Invent France​
With 20 years of experience, Malik specializes in managing quality, regulatory, and sustainability compliance projects in the pharmaceutical industry. He leads business transformation by developing operational strategies that leverage technological advancements and address emerging needs while ensuring compliance with regulations and GxP requirements. Recently, he has expanded his focus to include trusted AI offerings in Life Sciences, supporting associated project teams

Barnabé Lecouteux

Vice President, Global Head of Life Sciences Incubator, Capgemini Invent​
With 16 years of experience, Barnabé is a seasoned leader in strategy, data, and operations in Life Sciences. Before Capgemini, he worked at Ipsen Pharma as Director of Strategic Planning and at Air Liquide Healthcare, where he was BU Head in Renal Care and Digital Strategy Director for chronic diseases. At Capgemini, he leads the Life Sciences incubator for Invent, focusing on Data and AI services in R&D. He is the author of the Capgemini annual barometer “AI for Health” and delivers regular thought leadership on Data and AI in the sector.

Yousra Tourki

Director, Data and AI, Capgemini Invent France​
With over 10 years of experience in project management in AI and Gen AI, Yousra has held several key positions in renowned companies, such as Air France, KLM, and Diabloop. As a Data Officer, she led research teams at Diabloop, overseeing the creation of algorithms for an artificial pancreas. Her expertise includes implementing AI audit protocols to minimize patient care risks. Currently, as the Director of Data Science at Capgemini Invent, she focuses primarily on AI, Gen AI, and AI compliance, particularly in the healthcare sector.

Damien Hervault

Senior Director, Data and AI, Capgemini Invent France​
Damien is an AI expert with a master’s degree in engineering and a postgraduate master’s in artificial intelligence and robotics. With over a decade of experience in advanced technology roles, he currently serves as Senior Director and Head of the AI Program at Capgemini, where he leads AI initiatives and evaluates AI across multiple dimensions. Previously, he was a Data Scientist project lead at Quantmetry and an R&D Director at Dassault Systèmes, where he directed research and development in advanced technologies. Damien brings all his knowledge to the trusted AI solutions offered by Capgemini.

Raphaël Viné

Director, Trusted AI, Capgemini Invent France​
Raphael has over 20 years of experience in IT, digital, and data fields, primarily working for technology service providers and consulting firms. He has tackled numerous challenges in various contexts related to business development and program management. He specializes in AI and healthcare, exploring how AI can benefit healthcare needs with a particular focus on the necessity of trusted AI to ensure safe, ethical, and effective solutions.