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.
"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 have been detected. They collaborated with our internal teams to ensure the findings drove real value for our development plan."
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