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News

Conference Season 2023: 20 papers from CCAIM accepted at AISTATS and ICLR

23 March 2023 by Andreas Bedorf

CCAIM Faculty members will present eight papers at the Artificial Intelligence and Statistics (AISTATS) conference, one of the most prominent annual gatherings of researchers at the intersection of artificial intelligence, machine …

Read moreConference Season 2023: 20 papers from CCAIM accepted at AISTATS and ICLR

External Validity of Machine Learning-based Prognostic Scores for Cystic Fibrosis – new publication

21 December 2022 by Andreas Bedorf

A paper recently accepted for publication by PLOS Digital Health explores machine-learning based prognostic scores and their validity when applied to demographically different patient cohorts: the ‘external validity’. The publication …

Read moreExternal Validity of Machine Learning-based Prognostic Scores for Cystic Fibrosis – new publication

Alexander Gimson – ML in Transplantation Medicine

15 November 2022 by Andreas Bedorf

Dr Alexander Gimson, member of the CCAIM faculty, talks about the impact of machine learning on transplantation medicine.

Read moreAlexander Gimson – ML in Transplantation Medicine

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. …

Read moreCCAIM at NeurIPS 2022

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 …

Read moreAI Clinic

exhib

9 September 2022 by Andreas Bedorf
Read moreexhib

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 …

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

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 …

Read moreCCAIM at ICML 2022

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
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Cambridge Centre for AI in Medicine Follow 451 2,514

CC4AIM
CC4AIM avatar; Cambridge Centre for AI in Medicine @CC4AIM ·
30 Mar 1641435153410162689

In their latest blog, the van der Schaar lab describes the transformative potential of #MachineLearning in healthcare using clinical data! They delve into data requirements for clinicians & how ML tools can help. Read about their engagement session here:

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Data for clinical machine learning // van der Schaar Lab

Comprehensive summary of the 22 March Revolutionizing Healthcare session on what data clinicians need and how ML tools can help them.

www.vanderschaar-lab.com

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Recent Posts

  • Conference Season 2023: 20 papers from CCAIM accepted at AISTATS and ICLR
  • External Validity of Machine Learning-based Prognostic Scores for Cystic Fibrosis – new publication
  • Alexander Gimson – ML in Transplantation Medicine
  • CCAIM at NeurIPS 2022
  • AI Clinic

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