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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 …

Read moreAnnouncing the CCAIM Seminar Series

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 …

Read moreCentre Coordinator and Project Manager (5-year fixed term)

CCAIM’s Inaugural Online Event – join us!

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 moreCCAIM’s Inaugural Online Event – join us!

Five fully-funded PhD studentships available at CCAIM

11 November 2020 by Sean O'Neill

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 …

Read moreFive fully-funded PhD studentships available at CCAIM

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

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

27 October 2020 by Sean O'Neill

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 …

Read moreEmpowering people with CF to take control with smart self-monitoring

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 …

Read moreMachine learning comes of age in cystic fibrosis

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 …

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

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 …

Read moreHow pioneering Machine Learning can help to future-proof clinical trials in the era of COVID-19
Abstract illustration

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 …

Read moreAI standards launched to help tackle problem 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 …

Read moreSynthetic data: breaking the data logjam in machine learning for healthcare

AutoML: powering the new human-machine learning ecosystem

7 August 2020 by Sean O'Neill

The van der Schaar lab, led by CCAIM’s Director, Professor Mihaela van der Schaar, has published a major new thought piece on automated machine learning (AutoML). AutoML will be the …

Read moreAutoML: powering the new human-machine learning ecosystem

Andres Floto features in the Science, Policy & Pandemics podcast

18 July 2020 by Sean O'Neill

This week, CCAIM Co-Director, Professor Andres Floto features in the Science, Policy and Pandemics podcast, a panel-based discussion programme produced by the University of Cambridge Centre for Science and Policy …

Read moreAndres Floto features in the Science, Policy & Pandemics podcast

Mihaela van der Schaar at ICML 2020

12 July 2020 by Sean O'Neill

The lab led by the Director of the Cambridge Centre for AI in Medicine, Professor Mihaela van der Schaar, has had 7 papers accepted for ICML 2020, which kicks off …

Read moreMihaela van der Schaar at ICML 2020

Mihaela van der Schaar to give tutorial at MLSS 2020

19 June 2020 by Sean O'Neill

CCAIM Director, Mihaela van der Schaar, will deliver a tutorial at the 2020 Machine Learning Summer School to be hosted by the Max Planck Institute for Intelligent Systems from June 28 …

Read moreMihaela van der Schaar to give tutorial at MLSS 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

The Cambridge Centre for AI in Medicine tackles COVID-19

11 June 2020 by Sean O'Neill

How the Centre’s network of leading scientists and clinicians is deploying pioneering AI and machine learning on multiple fronts to help fight the coronavirus pandemic. The coronavirus pandemic has galvanised …

Read moreThe Cambridge Centre for AI in Medicine tackles COVID-19

Five Questions for Mihaela van der Schaar

19 May 2020 by Sean O'Neill

Centre Director, Professor Mihaela van der Schaar discusses with the Centre for Data Innovation the challenges and opportunities for machine learning in medicine and her lab’s recent partnership with NHS …

Read moreFive Questions for Mihaela van der Schaar

Sarah Teichmann elected Fellow of the Royal Society

29 April 2020 by Sean O'Neill

Sarah Teichmann, a Principal Investigator for CCAIM and Head of Cellular Genetics at the Wellcome Sanger Institute, is recognised for her pioneering computational biology and genomics work, which led to …

Read moreSarah Teichmann elected Fellow of the Royal Society

Partnering with NHS Digital and Public Health England

20 April 2020 by Sean O'Neill

Centre Director, Professor Mihaela van der Schaar, announces a breakthrough: a partnership between her Cambridge lab and NHS Digital and Public Health England, to trial Cambridge Adjutorium – a system …

Read morePartnering with NHS Digital and Public Health England

From black boxes to white boxes

14 April 2020 by Sean O'Neill

CCAIM Director, Professor Mihaela van der Schaar, explains that using AI and machine learning in medicine isn’t just about developing accurate models and rolling them out because, on their own, …

Read moreFrom black boxes to white boxes

Progress using covid-19 patient data to train machine learning models for healthcare

3 April 2020 by Sean O'Neill

CCAIM Director, Professor Mihaela van der Schaar, demonstrates that machine learning techniques can accurately predict how covid-19 will impact hospital resource needs, such as ventilators and ICU beds at the …

Read moreProgress using covid-19 patient data to train machine learning models for healthcare
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