Paper on AI and ML in the response to COVID-19 published in Machine Learning Ahmed AlaaDan JarrettMihaela van der SchaarNick MaxfieldOctober 29, 2020
Presentation on AutoML and interpretability (Microsoft Research event) Mihaela van der SchaarOctober 6, 2020
Revolutionizing Healthcare (September 29, 2020) Nick MaxfieldMihaela van der SchaarSeptember 30, 2020
Paper on COVID-19 hospital capacity planning published in Machine Learning Zhaozhi QianAhmed AlaaMihaela van der SchaarNick MaxfieldSeptember 26, 2020
Revolutionizing healthcare: an invitation to clinical professionals everywhere Mihaela van der SchaarNick MaxfieldSeptember 22, 2020
Mihaela van der Schaar featured in Guardian article on reporting guidelines for AI clinical trials Nick MaxfieldSeptember 10, 2020
Synthetic data: breaking the data logjam in machine learning for healthcare Mihaela van der SchaarNick MaxfieldSeptember 7, 2020
MiLeTS 2020: Machine Learning for Healthcare in the COVID-19 Era Mihaela van der SchaarAugust 24, 2020
AutoML: powering the new human-machine learning ecosystem Mihaela van der SchaarNick MaxfieldAugust 5, 2020
Paper on COVID-19 clinical trials published in Statistics in Biopharmaceutical Research Ioana BicaMihaela van der SchaarNick MaxfieldJuly 22, 2020
ICML 2020: Automated ML and its transformative impact on medicine and healthcare Mihaela van der SchaarJuly 18, 2020
ICML 2020: Learning despite the unknown – missing data imputation in healthcare Mihaela van der SchaarJuly 17, 2020
ICML 2020: Machine Learning for Healthcare: Challenges, Methods, and Frontiers Mihaela van der SchaarJuly 13, 2020
ICME 2020 keynote: A Nationally-Implemented AI Solution for COVID-19 Mihaela van der SchaarJuly 7, 2020
“Pioneering” COVID-19 study published in Lancet Global Health Ioana BicaMihaela van der SchaarNick MaxfieldJuly 5, 2020
ICML 2020: Mihaela van der Schaar among top 10 authors by number of papers Nick MaxfieldJune 25, 2020
New tool tackles the “What if?” questions of COVID-19 Ahmed AlaaZhaozhi QianMihaela van der SchaarNick MaxfieldJune 9, 2020
Study shows importance of ethnicity as a COVID-19 risk factor in England Ahmed AlaaZhaozhi QianMihaela van der SchaarNick MaxfieldJune 5, 2020
Paper on COVID-19 between-centre mortality accepted for publication in Intensive Care Medicine Zhaozhi QianAhmed AlaaMihaela van der SchaarNick MaxfieldJune 3, 2020
Ethnicity is a leading risk factor in Brazilian COVID-19 mortality Ioana BicaMihaela van der SchaarNick MaxfieldMay 27, 2020
Paper published in Clinical Pharmacology and Therapeutics Ioana BicaAhmed AlaaMihaela van der SchaarNick MaxfieldMay 26, 2020
Tortoise Media interview with Mihaela van der Schaar: “Can AI solve the big issues?” Nick MaxfieldMihaela van der SchaarMay 22, 2020
Announcing the NeurIPS 2020 hide-and-seek privacy challenge James JordonMihaela van der SchaarNick MaxfieldMay 21, 2020
Center for Data Innovation: “5 Q’s for Mihaela van der Schaar” Nick MaxfieldMihaela van der SchaarMay 21, 2020
clairvoyance alpha: the first pipeline toolkit for medical time series Mihaela van der SchaarJinsung YoonZhaozhi QianDan JarrettIoana BicaMay 15, 2020
Why medicine is creating exciting new frontiers for machine learning Mihaela van der SchaarApril 30, 2020
Progress using COVID-19 patient data to train machine learning models for healthcare Mihaela van der SchaarApril 3, 2020
Turing Lecture: Machine learning – from black boxes to white boxes Mihaela van der SchaarMarch 11, 2020
Mihaela van der Schaar features in IEEE’s Stars in Computer Networking and Communications Nick MaxfieldDecember 10, 2019
Turing Lecture: Transforming medicine through AI-enabled healthcare pathways Mihaela van der SchaarJune 3, 2019
[PDF] Mihaela van der Schaar’s contribution to the 2019 NHS Topol Review Nick MaxfieldFebruary 20, 2019
Mihaela van der Schaar’s 2018 Oon International Award and Lecture in Preventative Medicine Nick MaxfieldNovember 20, 2018
2018 Oon Lecture – Medicine 2.0: Transforming Clinical Practice and Discovery Through Machine Learning and Learning Engines Mihaela van der SchaarNovember 20, 2018
New research shows machine learning could significantly augment clinical decision-making in cystic fibrosis care Nick MaxfieldAugust 2, 2018
AI for social good: Machine learning and data science for medicine Mihaela van der SchaarFebruary 12, 2018
Turing Lecture: Medicine 2.0 – Using Machine Learning to Transform Medical Practice and Discovery Mihaela van der SchaarMay 4, 2017
Turing short talk: Machine learning, data science and decisions for a better planet Mihaela van der SchaarOctober 24, 2016
Mihaela van der Schaar
Dan Jarrett
Nick Maxfield
Ahmed Alaa
Zhaozhi Qian
Ioana Bica
James Jordon
Jinsung Yoon
