Welcome to our blog
Insights from our team, partnered clinicians, and leaders in the field.
Synthetic data can be used to increase fairness and protect patient confidentiality in medical research
Our researchers are often asked how patient data is accessed and whether their privacy is protected in research settings. There is understandable concern about sharing sensitive information between healthcare institutions and research communities, but there doesn’t have to be… The Big Concern: Patient Privacy To positively transform healthcare for the future, the machine learning community…
Cutting-Edge Clinicians: Machine learning will make organ allocation more equitable in the UK
Dr. Alexander Gimson is leading Britain’s national team dedicated to improving the country’s existing organ allocation scheme to save more lives. Dr. Gimson and colleagues at the van der Schaar Lab and Cambridge Centre for AI in Medicine (CCAIM) are advocating for OrganITE – a novel machine learning solution whereby organs are offered to patients…
Nesta: How gender diverse is the workforce of AI research?
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.
Read more Nesta: How gender diverse is the workforce of AI research?
A creative approach to tackling the AI gender imbalance
I dream of the day we no longer need to discuss inequalities in STEM between men and women, because they will simply not exist. That day is still too far away, resulting in a huge waste of talent and a loss to society. I want to tell you why I’m passionate about changing this situation.
Read more A creative approach to tackling the AI gender imbalance
Automated machine learning will empower some, and replace others
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 story.
Read more Automated machine learning will empower some, and replace others
Why medicine is creating exciting new frontiers for machine learning
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 diverse crowd of participants and speakers. She discusses key aspects of her presentation.
Read more Why medicine is creating exciting new frontiers for machine learning
Black boxes to white boxes: Solving the AI interpretability challenge
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, they are “black boxes” that are hard for their intended users to apply, understand, and trust. Professor van der Schaar presents a solution to this…
Read more Black boxes to white boxes: Solving the AI interpretability challenge
Responding to COVID-19 with AI and machine learning
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.
Read more Responding to COVID-19 with AI and machine learning
