Revolutionizing Clinical Trials using Machine LearningAlihan HüyükZhaozhi QianEoin McKinneyMihaela van der SchaarAugust 19, 2022
Data Imputation: An essential yet overlooked problem in machine learningJeroen BerrevoetsAlicia CurthBogdan CebereMihaela van der SchaarAugust 16, 2022
Machine learning tackles the problem of dynamic disease progression in prostate cancer patientsEvgeny SavelievAugust 10, 2022
The van der Schaar Lab congratulates Ahmed Alaa on his appointment as Assistant ProfessorAndreas BedorfAugust 3, 2022
Healthcare visionaries discuss the future of AI and machine learningMihaela van der SchaarNick MaxfieldApril 6, 2022
Machine learning for early detection and diagnosis: a dialog with cliniciansMihaela van der SchaarNick MaxfieldMarch 21, 2022
Research pillar: self-supervised, semi-supervised, & multi-view learningMihaela van der SchaarNick MaxfieldDecember 15, 2021
van der Schaar Lab congratulates 3 researchers on graduationNick MaxfieldMihaela van der SchaarOctober 20, 2021
van der Schaar Lab welcomes 5 new researchers in 2021Nick MaxfieldMihaela van der SchaarOctober 14, 2021
Clarification on Strictly Batch Imitation Learning by Energy-based Distribution MatchingDan JarrettIoana BicaNick MaxfieldOctober 4, 2021
Paper on COVID-19 risk factors in Brazil published in Nature Scientific ReportsIoana BicaAhmed AlaaMihaela van der SchaarNick MaxfieldAugust 13, 2021
Research pillar: interpretable machine learningMihaela van der SchaarAlihan HüyükJonathan CrabbéZhaozhi QianNick MaxfieldJune 30, 2021
Million-patient study shows strength of machine learning in recommending breast cancer therapiesNick MaxfieldJune 24, 2021
van der Schaar Lab congratulates Alexis Bellot on doctoral defense, graduationNick MaxfieldJune 17, 2021
Ahmed Alaa receives 2021 Edward K. Rice Outstanding Doctoral Student Award from UCLANick MaxfieldMihaela van der SchaarMay 25, 2021
Quantitative epistemology: conceiving a new human-machine partnershipMihaela van der SchaarNick MaxfieldMay 19, 2021
Spotlight on organ transplantation research projectsMihaela van der SchaarJames JordonJeroen BerrevoetsNick MaxfieldMay 14, 2021
New video tutorial series on individualized treatment effect inferenceMihaela van der SchaarAhmed AlaaAlexis BellotAlicia CurthIoana BicaJeroen BerrevoetsYao ZhangZhaozhi QianNick MaxfieldApril 22, 2021
Research pillar: survival analysis, competing risks, and comorbiditiesMihaela van der SchaarAlexis BellotChanghee LeeNick MaxfieldApril 8, 2021
Research pillar: Individualized treatment effect inferenceMihaela van der SchaarAhmed AlaaIoana BicaAlicia CurthYao ZhangNick MaxfieldFebruary 5, 2021
Paper on AI and ML in the response to COVID-19 published in Machine LearningAhmed AlaaDan JarrettMihaela van der SchaarNick MaxfieldDecember 13, 2020
Study of admission timing and mortality following COVID-19 infection published in BMJ OpenAhmed AlaaZhaozhi QianMihaela van der SchaarNick MaxfieldNovember 29, 2020
Spotlight on Alzheimer’s research projectsMihaela van der SchaarDan JarrettNick MaxfieldNovember 18, 2020
Paper on COVID-19 hospital capacity planning published in Machine LearningZhaozhi QianAhmed AlaaMihaela van der SchaarNick MaxfieldSeptember 26, 2020
Mihaela van der Schaar featured in Guardian article on reporting guidelines for AI clinical trialsNick MaxfieldSeptember 10, 2020
Paper on COVID-19 clinical trials published in Statistics in Biopharmaceutical ResearchIoana BicaMihaela van der SchaarNick MaxfieldJuly 22, 2020
“Pioneering” COVID-19 study published in Lancet Global HealthIoana BicaMihaela van der SchaarNick MaxfieldJuly 5, 2020
New tool tackles the “What if?” questions of COVID-19Ahmed AlaaZhaozhi QianMihaela van der SchaarNick MaxfieldJune 9, 2020
Study shows importance of ethnicity as a COVID-19 risk factor in EnglandAhmed AlaaZhaozhi QianMihaela van der SchaarNick MaxfieldJune 5, 2020
Paper on COVID-19 between-centre mortality accepted for publication in Intensive Care MedicineZhaozhi QianAhmed AlaaMihaela van der SchaarNick MaxfieldJune 3, 2020
Announcing the NeurIPS 2020 hide-and-seek privacy challengeJames JordonMihaela van der SchaarNick MaxfieldMay 21, 2020
clairvoyance alpha: the first pipeline toolkit for medical time seriesMihaela van der SchaarJinsung YoonZhaozhi QianDan JarrettIoana BicaMay 15, 2020
Progress using COVID-19 patient data to train machine learning models for healthcareMihaela van der SchaarApril 3, 2020
New research shows machine learning could significantly augment clinical decision-making in cystic fibrosis careNick MaxfieldAugust 2, 2018
Andreas Bedorf
Alihan Hüyük
Zhaozhi Qian
Eoin McKinney
Mihaela van der Schaar
Jeroen Berrevoets
Alicia Curth
Bogdan Cebere
Evgeny Saveliev
Nick Maxfield
Dan Jarrett
Ioana Bica
Ahmed Alaa
Jonathan Crabbé
James Jordon
Alexis Bellot
Yao Zhang
Changhee Lee
Jinsung Yoon
