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  2. Synthetic data can be used to increase fairness and protect patient…

    https://ccaim.cam.ac.uk/artificial-intelligence-fairness-patient-confidentiality-medical-research/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  3. Seven papers from CCAIM accepted at ICLR 2022

    https://ccaim.cam.ac.uk/seven-papers-from-ccaim-accepted-at-iclr-2022/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Seven papers from CCAIM accepted at ICLR 2022. 31 January 2022. CCAIM Faculty members will present seven papers at the 10th annual International Conference on Learning Representations (ICLR 2022
  4. 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
  5. ‘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
  6. CCAIM at ICLR 2024

    https://ccaim.cam.ac.uk/ccaim-at-iclr-2024/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. CCAIM at ICLR 2024. 31 January 2018. by Andreas Bedorf. CCAIM Faculty members will present XXX papers at the 12th annual International Conference on Learning Representations (ICLR), globally
  7. 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
  8. 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
  9. 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
  10. CCAIM at NeurIPS 2022

    https://ccaim.cam.ac.uk/ccaim-at-neurips-2022/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  11. 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

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