CCAIM
Novel AI to transform healthcare
For our Revolutionizing Healthcare engagement series in conjunction with the van der Schaar Lab, we are inviting practicing clinicians and medical students to our next session on 10 October from 16:00-17:30 …
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 …
