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News

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

Synthetic data can be used to increase fairness and protect patient confidentiality in medical research

7 October 2021 by Navneet Gidda

Our researchers are often asked how patient data is accessed and whether their privacy is protected in research settings. There is understandable concern about sharing sensitive information between healthcare institutions …

Read moreSynthetic data can be used to increase fairness and protect patient confidentiality in medical research

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 …

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

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 …

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

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

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.

Read moreRash or skin cancer? Google app is supposed to detect skin diseases

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!

OrganITE: A pioneering ML system that helps clinicians make the most of scarce organs by predicting suitability for each patient

7 May 2021 by Navneet Gidda

The van der Schaar Lab has developed a machine learning solution that goes beyond the scope of contemporary organ-to-patient matching policies by also accounting for the rarity of organs available …

Read moreOrganITE: A pioneering ML system that helps clinicians make the most of scarce organs by predicting suitability for each patient

Ability of multi-drug resistant infection to evolve within cystic fibrosis patients highlights need for rapid treatment

30 April 2021 by Navneet Gidda

Scientists have been able to track how a multi-drug resistant organism is able to evolve and spread widely among cystic fibrosis patients – showing that it can evolve rapidly within …

Read moreAbility of multi-drug resistant infection to evolve within cystic fibrosis patients highlights need for rapid treatment

Nesta: How gender diverse is the workforce of AI research?

23 April 2021 by Navneet Gidda

This report adds detail to existing findings in wider tech sector studies that workforce diversity has stagnated, now on-par with the 1990s in relative terms within AI. We discussed the findings with Mihaela Van Der Schaar, the most-cited female AI researcher in the UK from the data set.

Read moreNesta: How gender diverse is the workforce of AI research?

A creative approach to tackling the AI gender imbalance

23 April 2021 by Navneet Gidda

I dream of the day we no longer need to discuss inequalities in STEM between men and women, because they will simply not exist. That day is still too far away, resulting in a huge waste of talent and a loss to society. I want to tell you why I’m passionate about changing this situation.

Read moreA creative approach to tackling the AI gender imbalance

Recordings of CCAIM’s Inaugural Event now available

26 January 2021 by Sean O'Neill

Our inaugural online event, on 22 January 2021, featured a stellar line-up of speakers drawn from the frontiers of machine learning, science, clinical research, pharmaceutical R&D and the NHS. The …

Read moreRecordings of CCAIM’s Inaugural Event now available

‘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 …

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

CCAIM vacancy: Communications Manager

22 December 2020 by Sean O'Neill

This is a wonderful opportunity to take on a pivotal role at the newly established Cambridge Centre for AI in Medicine (CCAIM) at the University of Cambridge. CCAIM is an …

Read moreCCAIM vacancy: Communications Manager

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)

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

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 …

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
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Recent Posts

  • Seven papers from CCAIM accepted at ICLR 2022
  • Matching last year’s total, 18 papers from CCAIM accepted at NeurIPS 2021
  • CCAIM awards four new PhD studentships and welcomes Associate Faculty members
  • Synthetic data can be used to increase fairness and protect patient confidentiality in medical research
  • Million-patient study shows strength of machine learning in recommending breast cancer therapies

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