Location: United Kingdom
Big data, genomics and AI all combine to predict the most effective drugs.
Many drugs don’t work for every tumour and it can take time to understand if the treatment has been ineffective. First-line chemotherapy can fail for up to 2 out of every 3 patients with certain cancers. Cambridge Cancer Genomics uses technical advances to offer precision oncology.
Through blood tests, a tumour can be profiled and then combined with machine learning to suggest which drugs are most likely to be effective. Rather than wait long periods for complex investigations, regular blood tests can monitor if the treatment is working for the individual. This helps the doctor make changes to treatment plans earlier and prevent any unwanted side effects from ineffective drugs. Blood testing can also detect cancer reoccurrence, on average of 7 months earlier than standard practice.
The company is currently launching their OncOS platform, a complete interface which has all the information an oncologist would need to provide personalised treatment including matching to clinical trials.
Website: www.ccg.ai
Email: info@ccg.ai
15 Minutes With The Doctor Podcast: Precision Oncology with John From Cambridge Cancer Genomics
Image: Cambridge Cancer Genomics