AI, big data and precision medicine in cancer: challenges to face

While AI and big data are more and more used to tackle cancer, experts caution: there cannot be exceptionalism for AI in medicine. It requires rigorous studies, publication of the results in peer-reviewed journals, and clinical validation in a real-world environment, before implementation in patient care.

 

2019 has begun with news regarding the use of artificial intelligence (AI) and big data in cancer. In the UK, the NHS has started a collaboration with Kheiron Medical to AI algorithms to try to diagnose breast cancer as competently or more than human radiologists, launching a trial on historic scans, Financial Times reports. In the US, Recursion Pharmaceuticals has announced the in-licensing of a clinical-stage drug candidate (REC-2282) for Neurofibromatosis type 2 or NF2, a rare hereditary cancer predisposition syndrome. The drug was identified using their artificial intelligence and big data platform. Many companies – including Google – are developing their own AI and data systems for a better assessment of cancer diagnosis and treatment.

Sourced through Scoop.it from: cancerworld.net