Photo by Gunnar Madlung on Unsplash A statistical study conducted by researchers from the van der Schaar Lab, in conjunction with NHS Digital, has shed light on increased COVID-19 prevalence and higher mortality risks...
Post archive
Paper on COVID-19 between-centre mortality accepted for publication in Intensive Care Medicine
A paper co-authored by Zhaozhi Qian, Ahmed Alaa, and Mihaela van der Schaar has been accepted for publication in Intensive Care Medicine (editor-in-chief: Giuseppe Citerio, M. D.). Dr. Ari Ercole from the University of...
van der Schaar Lab at ICML 2020: seven papers and a tutorial
The van der Schaar Lab’s diverse and pioneering research will be on full display at the 2020 International Conference on Machine Learning (ICML). Seven papers have been accepted for presentation at the event, and...
Ethnicity is a leading risk factor in Brazilian COVID-19 mortality
Favela close to Alphaville, São Paulo, Brazil; photo by Wilfredor on Wikimedia The outsize impact of ethnicity as a risk factor in Brazilian COVID-19 cases has been highlighted in a paper authored jointly by the van der...
Paper published in Clinical Pharmacology and Therapeutics
A paper co-authored by Ioana Bica, Ahmed Alaa, Craig Lambert and Mihaela van der Schaar has been published in Clinical Pharmacology & Therapeutics (editor-in-chief: Piet H. van der Graaf, PhD, PharmD). Title:...
Tortoise Media interview with Mihaela van der Schaar: “Can AI solve the big issues?”
Interview given by Mihaela van der Schaar for Tortoise Media, covering the potential and limitations of AI and machine learning in tackling COVID-19 and other major healthcare crises.
Announcing the NeurIPS 2020 hide-and-seek privacy challenge
The van der Schaar Lab is teaming up with Microsoft Research, the University of Cambridge and Amsterdam UMC to host a novel two-tracked competition to explore the meaning and limitations of data privacy.
clairvoyance alpha: the first unified end-to-end autoML pipeline for time-series data
The van der Schaar Lab has released an alpha version of clairvoyance, a ground-breaking autoML package that represents the culmination of years of research, development, and real-world testing. As a unified, end-to-end...
Automated machine learning will empower some and replace others
Many fear that machine learning and artificial intelligence will make professionals such as doctors obsolete. That such Frankensteinian fears follow new technologies is nothing new; as J. B. S. Haldane noted in an...
ICLR 2020: Ioana Bica’s presentation
Identifying when to give treatments to patients and how to select among multiple treatments over time are important medical problems with a few existing solutions. In this paper, we introduce the Counterfactual...
ICLR 2020: Dan Jarrett’s presentation
Autoencoder-based learning has emerged as a staple for disciplining representations in unsupervised and semi-supervised settings. This paper analyzes a framework for improving generalization in a purely supervised...
ICLR 2020: Mihaela van der Schaar’s Keynote and Q&A
Medicine stands apart from other areas where machine learning can be applied. While we have seen advances in other fields with lots of data, it is not the volume of data that makes medicine so hard, it is the challenges...
Why medicine is creating exciting new frontiers for machine learning
This week, I gave a keynote presentation at ICLR 2020, which—as many will know—is a huge deep learning conference that draws an impressively diverse crowd of participants and speakers...
van der Schaar Lab at ICLR 2020: two papers and a keynote
The van der Schaar Lab is taking an active role in this year’s International Conference on Learning Representations (ICLR), the world’s largest deep learning event. The lab’s work will be shared prominently with...
Partnering with NHS Digital and Public Health England
If you’ve been reading my updates, you’ll know that my team and I have recently been thinking hard about ways to use machine learning to help hospitals predict and control their usage of thinly-stretched resources amid...
From black boxes to white boxes
In my last two posts on LinkedIn, I’ve discussed how AI and machine learning can help healthcare professionals make well-informed decisions. We are working on some amazing models that can make highly accurate...
Progress using COVID-19 patient data to train machine learning models for healthcare
One short week ago, I took to my (newly-created) LinkedIn account to call on governments to use existing data and proven machine learning and AI techniques to help healthcare systems combat the COVID-19 pandemic. The...
Responding to COVID-19 with AI and machine learning
I’m Mihaela van der Schaar, and I’m the John Humphrey Plummer Professor of Machine Learning, AI and Medicine at the University of Cambridge. I’m also a Turing Fellow, and Chancellor’s Professor at UCLA. Today I...
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...
Mihaela van der Schaar’s 2018 Oon International Award and Lecture in Preventative Medicine
On Tuesday 20 November, 2018, Professor Mihaela van der Schaar gave a lecture entitled "Medicine 2.0: Transforming Clinical Practice and Discovery through Machine Learning and Electronic Health Engines." The lecture was...