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machine learning

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 …

Read moreSeven papers from CCAIM accepted at ICLR 2022

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 …

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

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 …

Read moreCCAIM awards four new PhD studentships and welcomes Associate Faculty members

Cutting-Edge Clinicians: Machine learning will make organ allocation more equitable in the UK

2 June 2021 by Navneet Gidda

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 …

Read moreCutting-Edge Clinicians: Machine learning will make organ allocation more equitable in the UK

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 …

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

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 …

Read moreAnnouncing CCAIM’s Inaugural Online Event

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 …

Read moreCambridge Centre for AI in Medicine announces its official launch

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 …

Read moreMachine learning finds an improved way to match donor organs with patients

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 …

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

Striking differences revealed in COVID-19 mortality between NHS trusts

12 June 2020 by Sean O'Neill

A University of Cambridge team led by Professor Mihaela van der Schaar and intensive care consultant Dr Ari Ercole of the Cambridge Centre for AI in Medicine (CCAIM) is calling …

Read moreStriking differences revealed in COVID-19 mortality between NHS trusts

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 …

Read moreTransforming medicine through AI-enabled healthcare

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