
MultivisionDx provides clinicians AI-powered decision-support that generates patient-specific tumor profiles to guide diagnosis and treatment selection for solid cancers. It applies computer vision and machine learning to analyze biological and spatial features of tumors and their microenvironment, producing composite biomarkers and assessments of tumor aggressiveness. The platform stems from multidisciplinary research at the University of Helsinki and is supported by a 650-patient proof-of-concept published in Cell, with patents pending for its biomarker-discovery platform and a head-and-neck composite biomarker. MultivisionDx targets clinical and pathology customers seeking personalized oncology tools for improved treatment stratification at scale.

MultivisionDx provides clinicians AI-powered decision-support that generates patient-specific tumor profiles to guide diagnosis and treatment selection for solid cancers. It applies computer vision and machine learning to analyze biological and spatial features of tumors and their microenvironment, producing composite biomarkers and assessments of tumor aggressiveness. The platform stems from multidisciplinary research at the University of Helsinki and is supported by a 650-patient proof-of-concept published in Cell, with patents pending for its biomarker-discovery platform and a head-and-neck composite biomarker. MultivisionDx targets clinical and pathology customers seeking personalized oncology tools for improved treatment stratification at scale.