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Predict drug efficacy in pre-clinical models & in individual patients using astrophysics-grade Bayesian AI
Develop a winning asset strategy with indication prioritisation, biomarker discovery and simulate which patient subgroups will respond before the first dose
Use omics-based digital twins of actual patients for synthetic controls and in silico clinical trial simulations to optimise trial design, test biomarkers and get a line of sight on a pivotal study
Accelerate companion diagnostic development with traceable biological evidence paths that satisfy regulatory requirements and clinical use
Help us enable biopharma, diagnostics and healthcare industries to discover better ways to overcome cancer.
Our partners leverage Concr advanced predictive modelling across every stage of therapeutic development to create shared value for the benefit of cancer patients.
Our growth is powered by funding and hands-on support from across three continents.
