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  2. Cambridge Centre for AI in Medicine announces its official launch

    https://ccaim.cam.ac.uk/cambridge-centre-for-ai-in-medicine-announces-its-official-launch/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Cambridge Centre for AI in Medicine announces its official launch. 11 November 2020. Today the University of Cambridge announces a five-year agreement with AstraZeneca and GSK to fund the
  3. The Cambridge Centre for AI in Medicine tackles COVID-19

    https://ccaim.cam.ac.uk/the-cambridge-centre-for-ai-in-medicine-tackles-covid-19/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. The Cambridge Centre for AI in Medicine tackles COVID-19. 11 June 2020. How the Centre’s network of leading scientists and clinicians is deploying pioneering AI and machine learning on
  4. Progress using covid-19 patient data to train machine learning models …

    https://ccaim.cam.ac.uk/progress-using-covid-19-patient-data-to-train-machine-learning-models-for-healthcare/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  5. Transforming medicine through AI-enabled healthcare

    https://ccaim.cam.ac.uk/transforming-medicine-through-ai-enabled-healthcare/
    23 Feb 2024: This system now exists, in a demonstrator mode fuelled by anonymised real-world data from England’s National Disease Registration Service (NDRS) and powered by the latest in machine learning.
  6. Revolutionizing Healthcare: Gathering expertise: which AI skills…

    https://ccaim.cam.ac.uk/revolutionizing-healthcare-gathering-expertise-which-ai-skills-should-medical-professionals-learn/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Revolutionizing Healthcare: Gathering expertise: which AI skills should medical professionals learn? 21 September 2023. by Andreas Bedorf. For our Revolutionizing Healthcare engagement series in
  7. Prof Mihaela van der Schaar writes for The Guardian about AI-powered…

    https://ccaim.cam.ac.uk/prof-mihaela-van-der-schaar-writes-for-the-guardian-about-ai-powered-personalised-medicine/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Prof Mihaela van der Schaar writes for The Guardian about AI-powered personalised medicine. 26 June 2023. by Andreas Bedorf. In a guest article for The Guardian, released on 26 June, our
  8. Prof Mihaela van der Schaar speaks with the BBC about how AI is…

    https://ccaim.cam.ac.uk/prof-mihaela-van-der-schaar-speaks-with-the-bbc-about-how-ai-is-already-improving-medicine/
    23 Feb 2024: In an interview with BBC News Mundo, released on 14 June, our director Prof Mihaela van der Schaar spoke with journalist Margarita Rodríguez as part of an article on “3 areas
  9. Machine learning finds an improved way to match donor organs with…

    https://ccaim.cam.ac.uk/machine-learning-finds-an-improved-way-to-match-donor-organs-with-patients/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  10. ‘Clairvoyance’, a breakthrough ML technology for medical time-series…

    https://ccaim.cam.ac.uk/clairvoyance-a-breakthrough-ml-technology-for-medical-time-series-data-accepted-for-iclr-2021/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. ‘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
  11. Disease Progression in Prostate Cancer Patients – How we approach the …

    https://ccaim.cam.ac.uk/disease-progression-in-prostate-cancer-patients-how-we-approach-the-problem-with-machine-learning/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  12. Using Machine Learning to Individualise Treatment Effect Estimation:…

    https://ccaim.cam.ac.uk/using-machine-learning-to-individualise-treatment-effect-estimation-challenges-and-opportunities/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Using Machine Learning to Individualise Treatment Effect Estimation: Challenges and Opportunities. 17 January 2024. by Andreas Bedorf. This work has been realised in a close collaboration of
  13. Cambridge Centre for AI in Medicine is a heavy hitter at NeurIPS 2020

    https://ccaim.cam.ac.uk/cambridge-centre-for-ai-in-medicine-is-a-heavy-hitter-at-neurips-2020/
    23 Feb 2024: Find out more about the potential impact of OrganITE in this CCAIM news story.
  14. External Validity of Machine Learning-based Prognostic Scores for…

    https://ccaim.cam.ac.uk/external-validity-of-machine-learning-based-prognostic-scores-for-cystic-fibrosis-new-publication/
    23 Feb 2024: The publication is the latest accomplishment in CCAIM’s ongoing efforts to push forward in cystic fibrosis research with the Floto lab and van der Schaar lab on the frontlines.
  15. Ten papers accepted at ICML 2021

    https://ccaim.cam.ac.uk/announcement-ten-papers-from-ccaim-research-team-accepted-at-icml-2021/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  16. Million-patient study shows strength of machine learning in…

    https://ccaim.cam.ac.uk/million-patient-study-shows-strength-of-machine-learning-in-recommending-breast-cancer-therapies/
    23 Feb 2024: Note: This news item was originally published by the van der Schaar Lab and Alan Turing Institute.
  17. Machine learning comes of age in cystic fibrosis

    https://ccaim.cam.ac.uk/machine-learning-comes-of-age-in-cystic-fibrosis/
    23 Feb 2024: These attention weights can be used to explain the relationships between the patient’s previous clinical events and their disease progression – excellent news for clinicians aiming to piece together and explain ... By the patient’s latest visit (3
  18. Royal Papworth Hospital wins funding award to accelerate artificial…

    https://ccaim.cam.ac.uk/royal-papworth-hospital-wins-funding-award-to-accelerate-artificial-intelligence-technology-in-cystic-fibrosis/
    23 Feb 2024: Note: This news item was originally published by the Royal Papworth Hospital and adapted for use by the Centre.
  19. How pioneering Machine Learning can help to future-proof clinical…

    https://ccaim.cam.ac.uk/how-pioneering-machine-learning-can-help-to-future-proof-clinical-trials-in-the-era-of-covid-19/
    23 Feb 2024: AI in Medicine, Professor Mihaela van der Schaar of the University of Cambridge – describes the impact that COVID-19 is having on clinical trials, and reveals how the latest machine learning ... They highlight the latest advances in reinforcement
  20. Advances in machine learning for cystic fibrosis revealed at the…

    https://ccaim.cam.ac.uk/advances-in-machine-learning-for-cystic-fibrosis-revealed-at-north-american-cf-conference-2020/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  21. Ability of multi-drug resistant infection to evolve within cystic…

    https://ccaim.cam.ac.uk/ability-of-multi-drug-resistant-infection-to-evolve-within-cystic-fibrosis-patients-highlights-need-for-rapid-treatment/
    23 Feb 2024: The study was funded by theand Fondation Botnar. Note: This news article was originally published by the University of Cambridge and adapted for use by the Centre. ——.

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