Tumor Evolution Trajectories

SPARK's outputs support tools for diagnosing cancers, predicting outcomes, and identifying treatment-response biomarkers. Tumor-evolution trajectories and prognostic parameters support clinical tool development across diagnostic, prognostic, and predictive domains. SPARK's outputs enable clinical tool development across diagnostic, prognostic, and predictive domains. SPARK's trajectory outputs may help develop diagnostic, prognostic, and predictive clinical tools. SPARK's outputs can enable enhanced identification and classification of cancer types and subtypes. SPARK's outputs can help identify biomarkers predictive of treatment response or resistance. Tumor-evolution trajectories are computational models of how cancers develop, progress, and transform over time. Tumor-evolution trajectories are computational models of cancer development, progression, and transformation over time. Tumor-evolution trajectories model how cancers develop, progress, and transform over time at the cellular and tissue level. Tumor-evolution trajectories describe cancer change at the cellular and tissue level. Tumor-evolution trajectories model cancer change at cellular and tissue levels. Tumor-evolutio…