Biomedical

A doctor adjusting a persons prothetic arm

This theme focuses on investigating health and disease to develop improved diagnostics and technologies for enhanced quality of life. It aims to explore how artificial intelligence and autonomous systems may be developed and applied to patient data sets, laboratory-based data collection, large spectroscopic data and data from emerging technologies for efficient and robust analysis, interpretation and diagnosis. Thus, the scope is wide and encompasses a range of experimental and analytical approaches. This theme aligns with the development of the health innovation campus and the Health theme within the Data Science Institute. This alignment aims to strengthen connections and collaborations in these areas across all faculties at 快播视频.

Theme Leaders

Jemma Kerns

Dr Jemma Kerns SFHEA

 Senior Lecturer and Director of Research

Cancer Biology and Genome Stability, Centre for Ageing Research, Experimental Medicine, 快播视频 Intelligent, Robotic and Autonomous Systems Centre, LIRA - Biomedical

Jun Liu

Professor Jun Liu

Professor in Digital Health

Artificial Intelligence, Digital Health Group, 快播视频 Intelligent, Robotic and Autonomous Systems Centre

Members

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Publications

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Projects

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  • 01/09/2023 → 31/03/2025
    Other

  • 01/05/2023 → 30/09/2024
    Other

  • 02/01/2023 → 31/03/2025
    Research

  • 08/12/2022 → 31/03/2023
    Research

  • 01/09/2022 → 31/08/2026
    Research

  • 01/07/2022 → 30/06/2026
    Research

  • 01/04/2022 → 30/06/2026
    Research

  • 01/03/2022 → 31/08/2022
    Research

  • 01/02/2022 → 01/12/2024
    Research

  • 01/01/2022 → 30/06/2023
    Research

  • 01/11/2021 → 31/10/2022
    Research

  • 04/10/2021 → 04/10/2022
    Research

  • 01/09/2021 → 31/03/2022
    Research

  • 01/08/2021 → 31/07/2022
    Research

  • 01/07/2021 → 30/12/2025
    Research

  • 01/04/2021 → 31/10/2024
    Research

  • 01/03/2021 → 30/09/2024
    Research

  • 01/03/2021 → 31/03/2023
    Research

  • 01/01/2021 → 30/06/2021
    Research

  • 02/11/2020 → 30/06/2023
    Research

  • 01/11/2020 → 31/08/2021
    Research

  • 01/11/2020 → 31/10/2024
    Research

  • 01/10/2020 → 01/10/2023
    Research

  • 01/09/2020 → 31/08/2023
    Research

  • 01/09/2020 → 31/08/2024
    Research

  • 01/09/2020 → 31/08/2023
    Research

  • 13/07/2020 → 26/09/2020
    Consultancy

  • 01/04/2020 → 30/06/2021
    Research

  • 01/10/2019 → 30/09/2020
    Research

  • 02/09/2019 → 31/08/2022
    Research

  • 01/09/2019 → 31/08/2022
    Research

  • 01/07/2019 → 30/09/2021
    Research

  • 01/07/2019 → 27/09/2019
    Consultancy

  • 01/03/2019 → 31/05/2021
    Research

  • 01/01/2019 → 31/12/2024
    Research

  • 01/01/2019 → 31/12/2024
    Research