

"Predicting cancer treatment response with AI to personalise immunotherapy care"
Curenetics uses AI to predict cancer patient response to immunotherapy by analysing genomics, imaging, and clinical data. This addresses a critical gap where only 20 to 30% of patients respond well to treatment, despite costs up to £90,000 per patient and severe side effects affecting up to 55% of those treated. The technology enables doctors and patients to make data driven treatment decisions, avoiding ineffective therapies that cause toxicities, non-response, or relapse. By providing certainty at diagnosis, clinical teams can select the right treatment path. Cancer diagnosis is devastating, and choosing effective treatment at the right time improves patient outcomes.


10
Team Members
2018
Founded
Digital Health
Sector
Hybrid
Work Environment
A world where every cancer patient receives treatment perfectly matched to their individual biology, where prediction replaces guesswork, and where the devastating physical and emotional toll of ineffective therapies becomes preventable.
At Curenetics, our mission is to improve cancer patient outcomes by predicting individual treatment response to immunotherapy using AI-driven analysis of genomic, imaging, and clinical data.