A paper authored by Zhaozhi Qian, Ahmed Alaa, and CCAIM Director, Professor Mihaela van der Schaar has been accepted for publication in Machine Learning (editor-in-chief: Hendrik Blockeel). The paper, entitled “CPAS: the UK’s National Machine Learning-based Hospital Capacity Planning System for COVID-19,” was accepted for publication on September 24. The authors introduce a capacity planning […]
The coronavirus pandemic is the greatest global healthcare crisis of our generation, presenting enormous challenges to medical research, including clinical trials. Advances in Machine Learning are providing an opportunity to rapidly adapt clinical trials and lay the groundwork for smarter, faster and more flexible clinical trials in the future. In an article published in Statistics […]
This week, CCAIM Co-Director, Professor Andres Floto features in the Science, Policy and Pandemics podcast, a panel-based discussion programme produced by the University of Cambridge Centre for Science and Policy and hosted by Dr Robert Doubleday. Professor Floto discusses the scientific and medical responses to the COVID-19 pandemic, and the technology that could help to […]
A University of Cambridge team led by Professor Mihaela van der Schaar and intensive care consultant Dr Ari Ercole of the Cambridge Centre for AI in Medicine (CCAIM) is calling for urgent research into the striking differences in COVID-19 deaths they have discovered between the intensive care units of NHS trusts across England. Using data […]
How the Centre’s network of leading scientists and clinicians is deploying pioneering AI and machine learning on multiple fronts to help fight the coronavirus pandemic. The coronavirus pandemic has galvanised scientists, clinicians and technologists in a global attempt to save lives, mitigate further economic devastation and bring this pandemic under control at the earliest opportunity. […]
Centre Director, Professor Mihaela van der Schaar, announces a breakthrough: a partnership between her Cambridge lab and NHS Digital and Public Health England, to trial Cambridge Adjutorium – a system developed at her lab that uses machine learning to help predict the upcoming demand for intensive care (ICU) beds and ventilators needed to treat patients […]
CCAIM Director, Professor Mihaela van der Schaar, demonstrates that machine learning techniques can accurately predict how covid-19 will impact hospital resource needs, such as ventilators and ICU beds at the individual patient level and the hospital level, enabling healthcare professionals to make well-informed decisions about how these scarce resources can be used to achieve the […]
CCAIM Director, Professor Mihaela van der Schaar, calls on governments and healthcare authorities to use proven AI and machine learning techniques and existing data to coordinate a response to the covid-19 pandemic. Read the full story.
The covid-19 pandemic led to unprecedented strain on intensive care unit admission. CCAIM’s Dr Ari Ercole discusses his work on ultra-early forecasting of that strain on intensive care resources. Read the transcript or listen to the podcast.