Featured 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. …

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 …

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.

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 …

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 …

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 …

Transforming medicine through AI-enabled healthcare

1 August 2019 by Sean O'Neill

World-leading expertise in healthcare-focused machine learning combined with the world’s largest, high-quality cancer data collection service could lead to a quantum leap in personalised medicine. (This article, featuring the work …