• 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

Industry Partners

The Cambridge Centre for AI in Medicine is funded by our industry partners, AstraZeneca and GSK.

This funding represents a fantastic opportunity to develop targeted research programmes through co-supervised, world-class PhD students. We are offering five fully funded studentships per year.

Partnering with CCAIM also represents an excellent opportunity to gain first-mover advantage in cutting-edge AI and machine learning.


“We know the best science doesn’t happen in isolation which is why collaboration is essential to the way we work. This new centre combines world class academia with real-world industrial challenges and will help to develop cutting-edge AI to potentially transform the way we discover and develop medicines.”

Jim Weatherall

Vice President, Data Science & AI, R&D, AstraZeneca

“The new Cambridge Centre for AI in Medicine will recruit and train the next generation of practitioners at the intersection of AI, industry and academia. The work of this institute will be critical to translating AI methods from theory to practice, so that we can keep improving our therapeutic discovery efforts and so that together we can make a tangible impact on patients, from diagnosis, to treatment and beyond.”

Kim Branson

Senior Vice President, Global Head of AI and Machine Learning, GSK

Sidebar

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:

Image for twitter card

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

Reply on Twitter 1641435153410162689 Retweet on Twitter 1641435153410162689 0 Like on Twitter 1641435153410162689 2 Twitter 1641435153410162689
Load More...

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

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!