01.09.26 -- Meet FDA Expectations For Hybrid And Decentralized Trial Oversight

Matthew Peruhakal, Global Head of Data Architecture, Utilization, and AI Engineering at Sanofi, offers a deep look at how the pharmaceutical giant is integrating AI to transform clinical trials.

Archiving legacy QMS systems into a centralized platform reduced costs, simplified access, and improved efficiency for a global diagnostics company undergoing quality process harmonization.

Hidden costs from downstream data cleaning slow trials and raise risk. Explore why building quality at the source accelerates timelines, reduces errors, and gives sponsors a competitive edge.

Delve into five pivotal insights for leveraging lab data effectively and the collaboration that accelerated market entry for new therapies while ensuring the needs of targeted populations were met.

Bridge the digital divide in clinical trials. Streamline workflows between sponsors and research sites to accelerate study timelines, improve data quality, and ensure constant inspection readiness.

An AI-powered platform designed to revolutionize clinical trial planning and execution leverages deep learning and proprietary performance data to deliver highly accurate, real-time forecasts.

Utilize high-precision sensors and advanced algorithms to capture real-world evidence, improve decision-making, and streamline operations across every phase of clinical development.

Explore key changes to the guidelines and how they're transforming clinical trials with a focus on patient centricity, digital innovation, and risk-based quality management.