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.
"Combining our GI expertise with PhaseV’s advanced machine learning capabilities for trial simulation, design, and execution accelerate success for our sponsors and help address the growing burden of GI diseases …
"PhaseV’s causal disease modeling allowed us to draw clear, data-driven connections between biomarkers and clinical outcomes. This deeper understanding of therapeutic relevance has been critical in shaping our development strategy …
"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 …
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