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 …
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 …
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 …
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 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 …
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 …
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 …
