CCAIM
Novel AI to transform healthcare
Scientists have been able to track how a multi-drug resistant organism is able to evolve and spread widely among cystic fibrosis patients – showing that it can evolve rapidly within …
This report adds detail to existing findings in wider tech sector studies that workforce diversity has stagnated, now on-par with the 1990s in relative terms within AI. We discussed the findings with Mihaela Van Der Schaar, the most-cited female AI researcher in the UK from the data set.
Four members of the 10-strong CCAIM faculty have clocked up a total of 18 papers accepted at NeurIPS 2020 – one of the most prestigious international conferences for AI and …
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 …
The first international standards for the design and reporting of clinical trials involving artificial intelligence have been announced in a move experts hope will tackle the issue of overhyped studies …
“Machine learning has the potential to catalyze a complete transformation in healthcare, but researchers in our field are still hamstrung by a lack of access to high-quality data, which is …
The van der Schaar lab, led by CCAIM’s Director, Professor Mihaela van der Schaar, has published a major new thought piece on automated machine learning (AutoML). AutoML will be the …
CCAIM team member Dr Sarah Teichmann is Head of Cellular Genetics and a Senior Group Leader at the Sanger Wellcome Institute. An exciting opportunity has arisen for an Artificial Intelligence/Machine …
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 …
The lab led by the Director of the Cambridge Centre for AI in Medicine, Professor Mihaela van der Schaar, has had 7 papers accepted for ICML 2020, which kicks off …
CCAIM Director, Mihaela van der Schaar, will deliver a tutorial at the 2020 Machine Learning Summer School to be hosted by the Max Planck Institute for Intelligent Systems from June 28 …
Centre Director, Professor Mihaela van der Schaar discusses with the Centre for Data Innovation the challenges and opportunities for machine learning in medicine and her lab’s recent partnership with NHS …
CCAIM Director, Professor Mihaela van der Schaar, explores the potential impacts of automated machine learning on medicine and healthcare delivery, with a message of empowerment for clinicians. Read the full …
At the end of April 2020, CCAIM Director, Professor Mihaela van der Schaar, gave a keynote (Zoom) presentation at ICLR 2020, a key deep learning conference that draws an impressively …
Sarah Teichmann, a Principal Investigator for CCAIM and Head of Cellular Genetics at the Wellcome Sanger Institute, is recognised for her pioneering computational biology and genomics work, which led to …
CCAIM Director, Professor Mihaela van der Schaar, explains that using AI and machine learning in medicine isn’t just about developing accurate models and rolling them out because, on their own, …
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 …
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 …
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 …
Working with the Cystic Fibrosis Trust, CCAIM Director Mihaela van der Schaar’s team developed machine learning methods that could dramatically improve the accuracy of clinical assessments of people with cystic …
World-leading expertise in healthcare-focused machine learning combined with the world’s largest, high-quality cancer data collection service could lead to a quantum leap in personalised medicine. (This article, featuring the work …
