News

CCAIM at NeurIPS 2022

7 November 2022 by Andreas Bedorf

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. …

AI Clinic

15 September 2022 by Andreas Bedorf

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 …

Disease Progression in Prostate Cancer Patients – How we approach the problem with Machine Learning

16 August 2022 by Andreas Bedorf

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 …

CCAIM at ICML 2022

11 July 2022 by Andreas Bedorf

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 …

Seven papers from CCAIM accepted at ICLR 2022

31 January 2022 by Navneet Gidda

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 …

Matching last year’s total, 18 papers from CCAIM accepted at NeurIPS 2021

7 December 2021 by Navneet Gidda

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 …

CCAIM awards four new PhD studentships and welcomes Associate Faculty members

4 November 2021 by Navneet Gidda

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 …

Million-patient study shows strength of machine learning in recommending breast cancer therapies

12 July 2021 by Navneet Gidda

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 …

Royal Papworth Hospital wins funding award to accelerate artificial intelligence technology in cystic fibrosis

5 July 2021 by Navneet Gidda

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 …

Rash or skin cancer? Google app is supposed to detect skin diseases

23 May 2021 by Navneet Gidda

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.

Announcement: Ten papers from CCAIM research team accepted at ICML 2021!

20 May 2021 by Navneet Gidda

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 …

‘Clairvoyance’, a breakthrough ML technology for medical time-series data, accepted for ICLR 2021

19 January 2021 by Sean O'Neill

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 …

Announcing the CCAIM Seminar Series

16 December 2020 by Sean O'Neill

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 …

Centre Coordinator and Project Manager (5-year fixed term)

15 December 2020 by Sean O'Neill

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 …

Announcing CCAIM’s Inaugural Online Event

9 December 2020 by Sean O'Neill

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 …

Cambridge Centre for AI in Medicine announces its official launch

11 November 2020 by Sean O'Neill

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 …

Machine learning finds an improved way to match donor organs with patients

6 November 2020 by Sean O'Neill

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 …

Cambridge Centre for AI in Medicine is a heavy hitter at NeurIPS 2020

6 November 2020 by Sean O'Neill

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 …

Empowering people with CF to take control with smart self-monitoring

27 October 2020 by boss

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 …

Machine learning comes of age in cystic fibrosis

21 October 2020 by Sean O'Neill

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 …

Advances in machine learning for cystic fibrosis revealed at the North American CF Conference 2020

7 October 2020 by Sean O'Neill

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 …

How pioneering Machine Learning can help to future-proof clinical trials in the era of COVID-19

23 September 2020 by Sean O'Neill

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 …

AI standards launched to help tackle problem of overhyped studies

10 September 2020 by Sean O'Neill

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 …

Synthetic data: breaking the data logjam in machine learning for healthcare

7 September 2020 by Sean O'Neill

“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 …