Prognostic Biomarkers

Prognostic parameters characterize tumor aggressiveness, disease progression potential, and patient outcome trajectories. The outputs from SPARK can support improved prediction of patient outcomes and disease course. SPARK output may support improved prediction of patient outcomes and disease course. Prognostic tools enabled by SPARK provide improved prediction of patient outcomes and disease course. SPARK may accelerate development and validation of prognostic clinical tools for pathology and oncology. Prognostic parameters are quantitative cellular and tissue-level markers. Prognostic parameters are quantitative markers at the cellular and tissue levels. Prior approaches showed that tissue-level and single-cell feature extraction with machine learning can produce clinically actionable prognostic information. Prognostic parameters characterize tumor aggressiveness and inform patient outcome predictions at the cellular level. Prognostic parameters characterize tumor aggressiveness. SPARK produces prognostic parameters as one of its two primary clinically relevant output classes. Prognostic parameters characterize disease progression potential and patient outcome trajectories. SPAR…