CCAIM
Novel AI to transform healthcare
Our researchers are often asked how patient data is accessed and whether their privacy is protected in research settings. There is understandable concern about sharing sensitive information between healthcare institutions …
An extensive new study published in Nature Machine Intelligence shows that a prognostic tool developed by the van der Schaar Lab can recommend therapies for breast cancer patients more reliably than methods …
Using AI with home monitoring to predict sudden dips in the health of adults with cystic fibrosis has been awarded ‘Phase 2’ funding by the government. A pioneering artificial intelligence …
Dr. Alexander Gimson is leading Britain’s national team dedicated to improving the country’s existing organ allocation scheme to save more lives. Dr. Gimson and colleagues at the van der Schaar …
With the help of artificial intelligence, patients should find out whether their rash or a birthmark is dangerous. Experts recognize the advantages of such a tool, but emphasize that it cannot replace a doctor.
Members of the CCAIM research team will publish ten papers at this year’s International Conference on Machine Learning (ICML), the leading international academic conference in machine learning. Taking place completely …
The van der Schaar Lab has developed a machine learning solution that goes beyond the scope of contemporary organ-to-patient matching policies by also accounting for the rarity of organs available …
Scientists have been able to track how a multi-drug resistant organism is able to evolve and spread widely among cystic fibrosis patients – showing that it can evolve rapidly within …
This report adds detail to existing findings in wider tech sector studies that workforce diversity has stagnated, now on-par with the 1990s in relative terms within AI. We discussed the findings with Mihaela Van Der Schaar, the most-cited female AI researcher in the UK from the data set.
