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196 Broadway Cambridge, MA, 02139 United StatesGNS Healthcare’s Subpopulation tool allows biopharma to run a complete trial dataset and quickly identify predictive biomarkers to select patients with a high probability of treatment benefit in a follow-up trial. It also prioritizes prognostic biomarkers that identify disease drivers that when perturbed show a change in the outcome of interest. The GNS Subpopulation tool: • Identifies a set of predictive response biomarkers • Determines confounding variables and removes them from analysis • Allows the user to optimize the set of biomarkers by varying cut- points and the ability to visualize the impact on the corresponding hazard ratios and information on the biomarker prevalence • Prioritizes prognostic biomarkers to identify disease drivers The Subpopulation tool eliminates the time-consuming current methods of biomarker selection, allowing scientists to explore all potential biomarkers and select the most relevant predictive biomarkers for a trial. The tool accelerates the process of preparing for later phase trials by reducing biomarker discovery from months to weeks. The REFS Advantage The REFS causal machine learning platform can be an integral part of your subpopulation identification process by: • Using retrospective analysis to generate biomarker hypotheses • Identifying predictive biomarkers to enrich patients in clinical studies • Using data to understand disease progression and treatment impact • Performing interim analysis to refine biomarker choice and adjust trials • Employing causal models to improve clinical trial analysis • Continuously validating and improving causal models using
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