Post archive

Inspiration Exchange: returning on October 7

September 10, 2021

Revolutionizing Healthcare: returning on September 29

September 10, 2021

Paper on COVID-19 risk factors in Brazil published in Nature Scientific Reports

Mihaela van der Schaar

August 13, 2021

Research pillar: time series in healthcare

Mihaela van der Schaar

August 4, 2021

ICML 2021 tutorial: Synthetic healthcare data generation and assessment

Mihaela van der Schaar

July 28, 2021

ICML 2021: IMLH keynote on quantitative epistemology

Mihaela van der Schaar

July 28, 2021

ICML 2021: Time Series Workshop invited talk

Mihaela van der Schaar

July 28, 2021

Inspiration Exchange: quantitative epistemology

July 20, 2021

Revolutionizing Healthcare: roundtable on AI/ML decision-support tools

July 20, 2021

van der Schaar Lab at ICML 2021: tutorial, 4 papers, and 4 workshops

July 14, 2021

Interpretable machine learning

Research pillar: interpretable machine learning

Mihaela van der Schaar

Jonathan Crabbé

June 30, 2021

Million-patient study shows strength of machine learning in recommending breast cancer therapies

June 24, 2021

van der Schaar Lab congratulates Alexis Bellot on doctoral defense, graduation

June 17, 2021

van der Schaar Lab collaborations recognized with major NHS award

June 16, 2021

Making machine learning interpretable: a dialog with clinicians

Mihaela van der Schaar

June 9, 2021

Machine learning for mammography article named “Best of 2020” by JACR

June 4, 2021

Inspiration Exchange: ITE inference in the time series setting

June 2, 2021

Revolutionizing Healthcare: roundtable on personalized therapeutics and individualized treatment effects

June 2, 2021

Ahmed Alaa receives 2021 Edward K. Rice Outstanding Doctoral Student Award from UCLA

Mihaela van der Schaar

May 25, 2021

Quantitative epistemology

Quantitative epistemology: conceiving a new human-machine partnership

Mihaela van der Schaar

May 19, 2021

Organ transplantation

Spotlight on organ transplantation research projects

Mihaela van der Schaar

Jeroen Berrevoets

May 14, 2021

Inspiration Exchange: individualized treatment effect inference (first session)

May 4, 2021

Revolutionizing Healthcare: second roundtable on interpretability in ML/AI for healthcare

May 3, 2021

ICLR 2021 15 papers

van der Schaar Lab at ICLR 2021: 5 papers and 3 workshops

April 30, 2021

individualized treatment effect inference

New video tutorial series on individualized treatment effect inference

Mihaela van der Schaar

Jeroen Berrevoets

April 22, 2021

AISTATS 2021

van der Schaar Lab at AISTATS 2021: 4 papers accepted

April 12, 2021

Research pillar: survival analysis, competing risks, and comorbidities

Mihaela van der Schaar

April 8, 2021

ICLR 2021 15 papers

Fergus Imrie joins van der Schaar Lab as postdoc

Mihaela van der Schaar

April 7, 2021

Revolutionizing Healthcare: roundtable on interpretability in ML/AI for healthcare

Mihaela van der Schaar

April 2, 2021

Inspiration Exchange: application-oriented projects in machine learning for healthcare

Mihaela van der Schaar

April 1, 2021

Revolutionizing Healthcare: ML tools for cancer (post-diagnosis care)

Mihaela van der Schaar

March 2, 2021

Inspiration Exchange: synthetic data evaluation

Mihaela van der Schaar

March 1, 2021

Spotlight on cystic fibrosis research projects

Mihaela van der Schaar

February 23, 2021

Personalized education

Personalized education explored in new paper and panel discussion

February 22, 2021

individualized treatment effect inference

Research pillar: Individualized treatment effect inference

Mihaela van der Schaar

February 5, 2021

Spotlight on cancer

Spotlight on cancer research projects

Mihaela van der Schaar

February 4, 2021

Revolutionizing Healthcare: ML tools for cancer (risks, screening, diagnosis)

Mihaela van der Schaar

January 29, 2021

Inspiration Exchange: synthetic data concepts and approaches

Mihaela van der Schaar

January 29, 2021

Revolutionizing Healthcare December 16

Revolutionizing Healthcare: tools for acute care

Mihaela van der Schaar

December 17, 2020

Paper on AI and ML in the response to COVID-19 published in Machine Learning

Mihaela van der Schaar

December 13, 2020

Inspiration Exchange: recent projects in machine learning for healthcare

Mihaela van der Schaar

December 8, 2020

Lab’s pioneering projects on show at NeurIPS 2020

December 2, 2020

Study of admission timing and mortality following COVID-19 infection published in BMJ Open

Mihaela van der Schaar

November 29, 2020

Alzheimer's research

Spotlight on Alzheimer’s research projects

Mihaela van der Schaar

November 18, 2020

Revolutionizing Healthcare November 11

Revolutionizing Healthcare: a framework for ML for healthcare

Mihaela van der Schaar

November 12, 2020

Inspiration Exchange November 9

Inspiration Exchange: software packages for automated machine learning

Mihaela van der Schaar

November 10, 2020

Machine learning for healthcare: Towards a unifying framework

Mihaela van der Schaar

November 8, 2020

van der Schaar Lab at NeurIPS 2020: 9 papers accepted

November 3, 2020

van der Schaar Lab welcomes 6 new researchers

Mihaela van der Schaar

October 23, 2020

Presentation on AutoML and interpretability (Microsoft Research event)

Mihaela van der Schaar

October 6, 2020

Inspiration Exchange October 5

Inspiration Exchange: automated machine learning pipelines

Mihaela van der Schaar

October 6, 2020

Revolutionizing Healthcare September 29

Revolutionizing Healthcare: what machine learning can offer healthcare

Mihaela van der Schaar

September 30, 2020

Paper on COVID-19 hospital capacity planning published in Machine Learning

Mihaela van der Schaar

September 26, 2020

How machine learning is changing the response to COVID-19

Mihaela van der Schaar

September 26, 2020

Revolutionizing healthcare: an invitation to clinical professionals everywhere

Mihaela van der Schaar

September 22, 2020

Guardian article

Mihaela van der Schaar featured in Guardian article on reporting guidelines for AI clinical trials

September 10, 2020

Synthetic data: breaking the data logjam in machine learning for healthcare

Mihaela van der Schaar

September 7, 2020

Inspiration Exchange September 2

Inspiration Exchange: introduction to automated machine learning

Mihaela van der Schaar

September 2, 2020

CompAge 2020 keynote

Mihaela van der Schaar

September 1, 2020

RIIAA 2020 Keynote

Mihaela van der Schaar

August 27, 2020

MiLeTS 2020: Machine Learning for Healthcare in the COVID-19 Era

Mihaela van der Schaar

August 24, 2020

AutoML: powering the new human-machine learning ecosystem

Mihaela van der Schaar

August 5, 2020

AstraZeneca R&D image

Paper on COVID-19 clinical trials published in Statistics in Biopharmaceutical Research

Mihaela van der Schaar

July 22, 2020

ICML 2020: Automated ML and its transformative impact on medicine and healthcare

Mihaela van der Schaar

July 18, 2020

ICML 2020: Learning despite the unknown – missing data imputation in healthcare

Mihaela van der Schaar

July 17, 2020

ICML 2020: Machine Learning for Healthcare: Challenges, Methods, and Frontiers

Mihaela van der Schaar

July 13, 2020

Machine Learning for Healthcare tutorials – MLSS 2020, Tübingen

Mihaela van der Schaar

July 9, 2020

ICME 2020 keynote: A Nationally-Implemented AI Solution for COVID-19

Mihaela van der Schaar

July 7, 2020

“Pioneering” COVID-19 study published in Lancet Global Health

Mihaela van der Schaar

July 5, 2020

ICML 2020 medium post

ICML 2020: Mihaela van der Schaar among top 10 authors by number of papers

June 25, 2020

ICME 2020

Mihaela van der Schaar to introduce key COVID-19 initiatives at ICME 2020

June 24, 2020

2020 MLSS tutorial

Mihaela van der Schaar to give tutorial at MLSS 2020

June 17, 2020

Photo by Zhang Kenny on Unsplash

New tool tackles the “What if?” questions of COVID-19

Mihaela van der Schaar

June 9, 2020

Photo by Gunnar Madlung on Unsplash

Study shows importance of ethnicity as a COVID-19 risk factor in England

Mihaela van der Schaar

June 5, 2020

COVID-19 intensive care medicine

Paper on COVID-19 between-centre mortality accepted for publication in Intensive Care Medicine

Mihaela van der Schaar

June 3, 2020

Photo by bantersnaps on Unsplash

van der Schaar Lab at ICML 2020: seven papers and a tutorial

June 1, 2020

Favela close to Alphaville, São Paulo, Brazil; photo by Wilfredor on Wikimedia

Ethnicity is a leading risk factor in Brazilian COVID-19 mortality

Mihaela van der Schaar

May 27, 2020

Paper published in Clinical Pharmacology and Therapeutics

Mihaela van der Schaar

May 26, 2020

Tortoise Media interview on COVID-19

Tortoise Media interview with Mihaela van der Schaar: “Can AI solve the big issues?”

Mihaela van der Schaar

May 22, 2020

2020 NeurIPS privacy challenge

Announcing the NeurIPS 2020 hide-and-seek privacy challenge

Mihaela van der Schaar

May 21, 2020

Professor Mihaela van der Schaar

Center for Data Innovation: “5 Q’s for Mihaela van der Schaar”

Mihaela van der Schaar

May 21, 2020

clairvoyance alpha: the first pipeline toolkit for medical time series

Mihaela van der Schaar

May 15, 2020

Automated machine learning will empower some and replace others

Mihaela van der Schaar

May 11, 2020

ICLR 2020: Ioana Bica’s presentation

May 4, 2020

ICLR 2020: Dan Jarrett’s presentation

May 4, 2020

ICLR 2020: Mihaela van der Schaar’s Keynote and Q&A

Mihaela van der Schaar

May 4, 2020

Why medicine is creating exciting new frontiers for machine learning

Mihaela van der Schaar

April 30, 2020

van der Schaar Lab at ICLR 2020: two papers and a keynote

April 27, 2020

Partnering with NHS Digital and Public Health England

Mihaela van der Schaar

April 21, 2020

Interpretability: from black boxes to white boxes

Mihaela van der Schaar

April 14, 2020

Progress using COVID-19 patient data to train machine learning models for healthcare

Mihaela van der Schaar

April 3, 2020

Responding to COVID-19 with AI and machine learning

Mihaela van der Schaar

March 27, 2020

Turing Lecture: from black boxes to white boxes

Mihaela van der Schaar

March 11, 2020

Lab mentioned in WIRED story on digitization of healthcare

February 27, 2020

A creative approach to tackling the AI gender imbalance

Mihaela van der Schaar

February 11, 2020

Mihaela van der Schaar features in IEEE’s Stars in Computer Networking and Communications

December 10, 2019

NESTA names Mihaela van der Schaar the most cited woman in AI

July 17, 2019

Turing impact story: Transforming medicine through AI-enabled healthcare

June 30, 2019

Turing Lecture: Transforming medicine through AI-enabled healthcare pathways

Mihaela van der Schaar

June 3, 2019

MIT LIDS presentation by Mihaela van der Schaar

May 14, 2019

[PDF] Mihaela van der Schaar’s contribution to the 2019 NHS Topol Review

February 20, 2019

Mihaela van der Schaar’s 2018 Oon International Award and Lecture in Preventative Medicine

November 20, 2018

2018 Oon Lecture – Medicine 2.0: Transforming Clinical Practice and Discovery Through Machine Learning and Learning Engines

Mihaela van der Schaar

November 20, 2018

Mihaela van der Schaar on The Economist’s “Babbage” podcast

October 17, 2018

Turing impact story: Augmenting clinical decision-making

September 30, 2018

Helping cystic fibrosis teams know when to talk about transplants

September 5, 2018

New research shows machine learning could significantly augment clinical decision-making in cystic fibrosis care

August 2, 2018

Lab’s work mentioned in Newsweek story

May 18, 2018

AI for social good: Machine learning and data science for medicine

Mihaela van der Schaar

February 12, 2018

Mihaela van der Schaar in Nature’s “tips to kick-start your career”

December 19, 2017

Lab’s work mentioned in Nature article

August 31, 2017

Turing Lecture: Medicine 2.0 – Using Machine Learning to Transform Medical Practice and Discovery

Mihaela van der Schaar

May 4, 2017

Turing short talk: Machine learning, data science and decisions for a better planet

Mihaela van der Schaar

October 24, 2016