‘Game changing’ technology which can predict how patients will respond to cancer treatment is part of a wave of Cambridge research harnessing AI to fight the disease.
Scientists have found a way to identify and interpret ‘signatures’ that reveal the complex genetic causes of some of the deadliest cancers – which often have a survival rate of less than 10%. The results, published today in Nature, could allow them to develop more accurate treatments and significantly improve survival rates.
Nine Cambridge academics have won Advanced Grants awarded by the European Research Council (ERC). This is the greatest number of grants won by a UK institution in the 2021 round of funding.
Artificial intelligence ‘deep learning’ techniques can be used to triage suspected cases of Barrett oesophagus, a precursor to oesophageal cancer, potentially leading to faster and earlier diagnoses, say researchers at the University of Cambridge.
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