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We believe cancer therapy for every patient should be informed by their individual data, not averages
Our mission is simple: turn complex molecular and clinical data into clear predictions of therapeutic response and outcome for every patient
We built a foundation model of cancer biology using Bayesian AI from astrophysics to bridge cancer research and patient care
Uncover best indications with minimal data
Select responders with patient-specific biomarkers
De-risk trials via in-silico simulations & digital controls
a secure workspace to visualise data, run QC & bioinformatics, and explore patient-level predictions
Translating advanced modelling and predictions using our unique technology for science and clinical research.
Our partners leverage Concr advanced predictive modelling across every stage of therapeutic development to create shared value for the benefit of cancer patients.
We teamed up with leading astrophysicists to adapt established algorithms for genuine integration of disparate oncology datasets.
Our founders and advisors include world-renowned oncologists and astrophysicists, uniting deep cancer biology insight with computational cosmology techniques.
If you’d like more information or have an enquiry, please contact us.
