We develop novel imaging biomarker panels to deeply analyze disease mechanisms, maximize drug programs, and monitor treatment efficacy using a whole-body and tissue-agnostic approach for every patient.
Including radiomics, deep features and deep learning techniques.
By optimizing clinical study design using our AI-based models.
To deploy our solutions as digital biomarkers and companion diagnostics (CDx) in real-world scenarios.
To advance the development of AI-based models that detect pathologies early and predict outcomes.
Correcting variabilities in image quality across sites and scanners, and developing generalizable predictive models from retrospective observational studies.
CASE STUDY
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