The Centres for Antimicrobial Optimisation Network (CAMO-Net) is a unique global research partnership which brings together institutions from Africa, Asia, Europe and South America to optimise antimicrobial use globally. As part of this partnership, a series of collaborative meetings between researchers from the University of Liverpool (UOL) and Imperial College London (ICL) are organised to discuss the progress made within the CAMO-Net projects around the use of Artificial Intelligence and Machine Learning in healthcare. In this inaugural meeting, researchers from the institutions met for the first time and briefly described their topics of research. Together, we embark on a journey to shape the future of medical technologies, leveraging the expertise and synergies between our esteemed institutions.



Material

  1. CAMO-Net AI
    Harnessing data to transform the power of molecular diagnostics and epidemiological modelling
    Jesus Rodriguez-Manzano
    In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
    Slides
  1. CAMO-Net AI
    Adaptive prediction of antimicorbial susceptibility and its implementation to improve the management of urinary tract infection (ADAPT)
    Alexander Howard
    In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
    Slides
  1. CAMO-Net AI
    Data-driven web-based intelligent decision support system for infection management at point of care
    Bernard Hernandez
    In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
    Slides
  1. CAMO-Net AI
    Machine learning based clinical decision support for antimicrobial stewardship
    William Bolton
    In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
    Slides
  1. CAMO-Net AI
    Applied machine learning to optimise clinial management of acute febrile illnesses and neonatal care
    Damien Ming
    In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
    Slides
    1. CAMO-Net AI
      Artificial intelligence and real-time monitoring with closed loop control to understand dosing and optimise therapeutics
      Timothy Rawson
      In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
      Slides
    1. CAMO-Net AI
      How physiology-based pharmacokinetic modelling can aid optimisation of antimicrobials
      Christopher Darlow
      In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
      Slides
    1. CAMO-Net AI
      Pharmacodynamic modelling of emergency medicine list antimicrobials
      Vineet Dubey
      In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
    1. CAMO-Net AI
      Data linkage resources, access, analysis and outputs for integrated care
      Nina Zhu
      In Application of AI to optimise the management of infectious diseases and the use of antimicrobials: CAMO-UK researchers meeting Jun 2023
      Slides