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'Digital twin' could help predict how well cancer treatments may work

'Digital twin' could help predict how well cancer treatments may work International researchers have developed a way to re-create clinical trials of new treatments using ‘digital twins’ of real cancer patients. The technology, called FarrSight-Twin, is based on algorithms used by astrophysi

The technology, called FarrSight®-Twin, which is based on algorithms used by astrophysicists to discover black holes, will be presented today (Friday) at the 36th EORTC-NCI-AACR [1] Symposium on Molecular Targets and Cancer Therapeutics in Barcelona, Spain. The research is presented by Dr Uzma Asghar, Co-founder and Chief Scientific Officer at Concr and a consultant medical oncologist, currently working at The Royal Marsden NHS Foundation Trust, London, UK. Professor Timothy A Yap from the University of Texas MD Anderson Cancer Center, Houston, USA, is co-chair of the EORTC-NCI-AACR Symposium and was not involved in the research.

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