CCAIM
Novel AI to transform healthcare
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 …
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 …
The Cambridge Centre for AI in Medicine develops pioneering AI and machine learning technologies with the goal of transforming biomedical science, medicine and healthcare. Another of our goals is to …
We are looking for an accomplished and multitalented Centre Coordinator and Project Manager for the opportunity to develop and shape the role to support the newly established Cambridge Centre for …
The Cambridge Centre for AI in Medicine is excited to announce our free Inaugural Event! It will take place online on 22 January 2021, from 2pm to 6pm GMT (9am to …
The Cambridge Centre for AI in Medicine is a multi-disciplinary centre established by the University of Cambridge in 2020 to develop pioneering AI machine learning (ML) technologies that will transform …
Today the University of Cambridge announces a five-year agreement with AstraZeneca and GSK to fund the Cambridge Centre for AI in Medicine (CCAIM). For the 5-year duration, AstraZeneca and GSK …
The question of which patient should receive a life-saving donor organ is one of the thorniest in medicine. Donor organs are a scarce resource, each one as unique as the …
Four members of the 10-strong CCAIM faculty have clocked up a total of 18 papers accepted at NeurIPS 2020 – one of the most prestigious international conferences for AI and …
CCAIM Co-Director Andres Floto, pictured above outside Royal Papworth Hospital in Cambridge, is leading a study on home monitoring for people with cystic fibrosis. The research is central to Project …
World-leading AI technology developed at the University of Cambridge by the directors of the Cambridge Centre for AI in Medicine and their colleagues offers a glimpse of the future of …
World-leading machine learning (ML) technology developed at the University of Cambridge promises powerful new prediction and analytical tools to support the clinical care of individuals with the life-limiting condition. The …
The coronavirus pandemic is the greatest global healthcare crisis of our generation, presenting enormous challenges to medical research, including clinical trials. Advances in Machine Learning are providing an opportunity to …
The first international standards for the design and reporting of clinical trials involving artificial intelligence have been announced in a move experts hope will tackle the issue of overhyped studies …
“Machine learning has the potential to catalyze a complete transformation in healthcare, but researchers in our field are still hamstrung by a lack of access to high-quality data, which is …
