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  2. Vacancy: Artificial Intelligence and Machine Learning Team Leader

    https://ccaim.cam.ac.uk/vacancy-artificial-intelligence-and-machine-learning-team-leader/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Vacancy: Artificial Intelligence and Machine Learning Team Leader. 24 July 2020. CCAIM team member Dr Sarah Teichmann is Head of Cellular Genetics and a Senior Group Leader at the Sanger
  3. Predicting lung cancer risk using machine learning models

    https://ccaim.cam.ac.uk/predicting-lung-cancer-risk-using-machine-learning-models/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Predicting lung cancer risk using machine learning models. 17 October 2023. CCAIM researchers, together with scientists from UCL, have developed machine learning models aimed at simplifying lung
  4. AI standards launched to help tackle problem of overhyped studies

    https://ccaim.cam.ac.uk/ai-standards-launched-to-help-tackle-problem-of-overhyped-studies/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. AI standards launched to help tackle problem of overhyped studies. 10 September 2020. The first international standards for the design and reporting of clinical trials involving artificial
  5. Using AI to augment clinical decision-making in cystic fibrosis

    https://ccaim.cam.ac.uk/using-ai-to-augmenting-clinical-decision-making-in-cystic-fibrosis/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Using AI to augment clinical decision-making in cystic fibrosis. 1 August 2019. Working with the Cystic Fibrosis Trust, CCAIM Director Mihaela van der Schaar’s team developed machine learning
  6. CCAIM awards four new PhD studentships and welcomes Associate Faculty …

    https://ccaim.cam.ac.uk/ccaim-awards-phd-studentships-welcomes-associate-faculty/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  7. NeurIPS 2023 Preview: Data-Centric AI for reliable and responsible AI

    https://ccaim.cam.ac.uk/neurips-2023-preview-data-centric-ai-for-reliable-and-responsible-ai/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. NeurIPS 2023 Preview: Data-Centric AI for reliable and responsible AI. 27 November 2023. This is a preview of ourthat will be presented by Mihaela van der Schaar and Nabeel Seedat during the
  8. Prof Mihaela van der Schaar joining panel on oncology at ASCO2023

    https://ccaim.cam.ac.uk/prof-mihaela-van-der-schaar-joining-panel-on-oncology-at-asco2023/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. Prof Mihaela van der Schaar joining panel on oncology at ASCO2023. 1 June 2023. by Andreas Bedorf. This Friday (2 June 2023), our director Prof Mihaela van der Schaar will be joining the panel
  9. CCAIM at ICML 2022

    https://ccaim.cam.ac.uk/ccaim-at-icml-2022/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. CCAIM at ICML 2022. The CCAIM researchers will publish 12 papers at ICML 2022, the leading international academic conference in machine learning. 11 July 2022. by Andreas Bedorf. The Cambridge
  10. OrganITE: A pioneering ML system that helps clinicians make the most…

    https://ccaim.cam.ac.uk/organite-pioneering-machine-learning-system/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. 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
  11. The Naked Scientists Podcast: Intensive care beds – UK close to…

    https://ccaim.cam.ac.uk/the-naked-scientists-podcast-intensive-care-beds-uk-close-to-capacity/
    23 Feb 2024: CCAIM. Novel AI to transform healthcare. Menu. Events. The Naked Scientists Podcast: Intensive care beds – UK close to capacity. 23 March 2020. by Sean O'Neill. The covid-19 pandemic led to unprecedented strain on intensive care unit admission.

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