• Skip to main content
  • Skip to header right navigation
  • Skip to site footer
CCAIM

CCAIM

Novel AI to transform healthcare

  • Home
  • About
    • Our Aims
    • Leadership
    • Joint Steering Committee
    • Independent Scientific Advisory Board
    • Our students
    • Visitors
    • Vacancies
  • Research
    • Papers
    • Breakthroughs
    • Demonstrators
    • Research Update: COVID-19
    • Blog
  • News
    • Latest News
    • COVID-19 News
  • Events
    • Seminar Series
    • WeCREATE
    • Inaugural Event
    • AI Clinic
  • Summer School 2023
    • Program
    • Topics
    • Industry
    • Participate
    • Last Year’s Summer School in Numbers
    • FAQ
  • Get involved
    • Collaborate
    • PhD Programmes
    • Clinical PhD Position
    • Partners
  • Connect

healthcare

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

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

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

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

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

Navigation

Home

News

About

University of Cambridge

  • University A-Z
  • Contact the University
  • Accessibility
  • Data Protection
  • Terms and conditions

Newsletter

Sign-up for updates on our research.

Follow us

  • Twitter
  • LinkedIn
  • YouTube

Copyright © 2023 CCAIM

Return to top

We are using cookies to give you the best experience on our website.

You can find out more about which cookies we are using or switch them off in settings.

CCAIM
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Strictly Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.

3rd Party Cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Please enable Strictly Necessary Cookies first so that we can save your preferences!