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PhaseV is leveraging cutting-edge algorithms such as reinforcement learning and causal ML for adaptive trial design and closed-loop execution, in order to improve trial success rate while maximizing resource and time efficiency. Their novel methodology and advanced technology also enable the detection of hidden signals in data while analyzing clinical trial results and extracting actionable insights.
“Leveraging PhaseV's causal ML-driven site selection module was a game-changer for us. We identified top-performing sites with proven recruitment success while also achieving geographic and demographic diversity across our trial …
"PhaseV played a vital role in the analysis of our Phase 3 trial in the US, ORA-D-013-1, for the treatment of type 2 diabetes. The analysis found subpopulations of patients …
"We worked with PhaseV on one of our recent trials to identify clinically meaningful subgroups using Causal ML. Their expertise helped us identify a promising subpopulation that otherwise would not …
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