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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 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 the future 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.

Part 1 of this two-part series explores the leadership required to integrate, master, and comply with trusted AI in the life sciences. Part two will discuss recommendations and best practices for deploying trusted AI in this field.

Leading trustworthy AI in life sciences: Part I

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Capgemini Invent-POV-Leading Trustworthy AI in life sciences-Part I

Meet our experts

Malik Belattar

Director Intelligent and Sustainable Life Sciences, Capgemini Invent

Barnabé Lecouteux

Senior Director, Data & Analytics for Intelligent Industry, Capgemini Invent
Barnabé Lecouteux has 14 years of experience leading strategic and operational projects, with a focus on Data and Artificial Intelligence (AI) topics in the life sciences. He started his career as a consultant for Capgemini on operations transformation in the services, industry and life sciences sectors. Barnabé has a total of 8 years of experience in life sciences, first at Ipsen Pharma as Director of Strategic Planning and then at Air Liquide Healthcare, where he held the positions of Head of Chronic Renal Disease BU and Director of Digital Strategy for chronic diseases.

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.

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