CCAIM
Novel AI to transform healthcare
CCAIM Faculty members will present eight papers at the Artificial Intelligence and Statistics (AISTATS) conference, one of the most prominent annual gatherings of researchers at the intersection of artificial intelligence, machine …
A paper recently accepted for publication by PLOS Digital Health explores machine-learning based prognostic scores and their validity when applied to demographically different patient cohorts: the ‘external validity’. The publication …
Dr Alexander Gimson, member of the CCAIM faculty, talks about the impact of machine learning on transplantation medicine.
The Cambridge Centre for AI in Medicine will be represented at the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022) with 10 papers accepted for publication and 4 papers presented at workshops. …
This post is intended as ‘save the date’ – more information about our AI clinic will follow over the coming weeks The Cambridge Centre for AI in Medicine is devoted …
This post refers to a newly published paper involving members of the van der Schaar Lab inside CCAIM. Find out more here. In their paper, Changhee Lee, Alexander Light, Evgeny …
The Cambridge Centre for AI in Medicine will be represented at the Thirty-ninth International Conference on Machine Learning (ICML 2022) with twelve papers accepted for publication. Of these papers, eleven have been chosen by the …
CCAIM Faculty members will present seven papers at the 10th annual International Conference on Learning Representations (ICLR 2022), the premier conference dedicated to the advancement of deep learning. Taking place virtually …
Five members of the Centre’s faculty will publish eighteen papers and three workshops at this year’s conference on Neural Information Processing Systems (NeurIPS 2021), one of the most prestigious international academic conferences …
Heading into the new academic year, Alexander Norcliffe, Amir Gavrieli, Charles Harris, and Tennison Liu will join the CCAIM research team as PhD students. These students will work with members of the …
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.
I dream of the day we no longer need to discuss inequalities in STEM between men and women, because they will simply not exist. That day is still too far away, resulting in a huge waste of talent and a loss to society. I want to tell you why I’m passionate about changing this situation.
Our inaugural online event, on 22 January 2021, featured a stellar line-up of speakers drawn from the frontiers of machine learning, science, clinical research, pharmaceutical R&D and the NHS. The …
The International Conference on Learning Representations (ICLR) 2021 has accepted a paper representing landmark research from the van der Schaar Lab. The paper is entitled Clairvoyance: A Pipeline Toolkit for …
This is a wonderful opportunity to take on a pivotal role at the newly established Cambridge Centre for AI in Medicine (CCAIM) at the University of Cambridge. CCAIM is an …
