AI for Health by Artefact


Apr 12, 2022 | 5:00 PM CEST - 6:30 PM CEST


> 5pm-5:05pm - Introduction of the Masterclass Stephanie Trang, AI for Health - Master of Ceremony of the Masterclass > 5:05-5:25pm - AI for evidence-based covariate adjustment in clinical trials Félix Balazard, Owkin - Covariate adjustment in clinical trials leads to gains in statistical power. Adopting an evidence-based approach will significantly improve the success rate of trials. Broader eligibility criteria in trials are more attractive once covariate adjustment is optimized. > 5:25pm-5:45pm - How to identify the right patients from a data perspective ? Guillaume Carbonneau, Novartis - Targeting, profiling and geolocalizing patients : improving experience for investigators, reducing patients drop-out and accelerating personalized medicine. > 5:45pm-6:05pm - AI and Data Management for Clinical Trial Optimization Linda Kallfa, NetApp - As clinical studies continue to become more complex it is important that the data generated is managed in the optimal way during the trial. Artificial Intelligence and Machine Learning technologies have the power to monitor data as it is generated; identifying issues, and inconsistencies as trials are ongoing. The goal of implementing AI throughout the drug development process, is to get pharmaceutical treatment to market faster. Choosing the right technology partner for data management can help future trials be less wasteful and be completed in shorter times while completing each step thoroughly. > 6:05pm-6:25pm - Clinical trials in 2030 : which perspectives for patients and pharmas with technological breakthroughs ? Ariane Galaup, LEEM - Insights from the LEEM’study (French Union of Pharma Companies)