Concr adopted established algorithms from cosmology to accurately predict patient-specific biomarkers of response to novel and existing cancer therapies. Our unique approach allows iterative learning between disparate and fragmented data across all stages of a drug’s journey into the clinic, removing the need for ‘big data’ and yielding most accurate composite tumour models.