We discuss the future of clinical trials with cliniciansAndreas BedorfMihaela van der SchaarNovember 22, 2022
van der Schaar Lab at NeurIPS 2022: 7 papers, hosting 2 workshops, and presenting at 3 othersAndreas BedorfOctober 31, 2022
Revolutionizing Healthcare: AutoPrognosis: Using the next generation of ML toolsAndreas BedorfOctober 26, 2022
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
Revolutionizing Healthcare: using machine learning to power clinical trialsAndreas BedorfMay 27, 2022
Revolutionizing Healthcare: Leading clinical voices on the future of AI/ML for healthcareAndreas BedorfApril 29, 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
Revolutionizing Healthcare: AI and ML for early detection and diagnosis (2/2)Jeroen BerrevoetsMarch 18, 2022
Revolutionizing Healthcare: AI and ML for early detection and diagnosisNick MaxfieldFebruary 11, 2022
Inspiration Exchange: how can we make ML models as robust and useful as possible?Nick MaxfieldDecember 16, 2021
Research pillar: self-supervised, semi-supervised, & multi-view learningMihaela van der SchaarNick MaxfieldDecember 15, 2021
Generating and evaluating synthetic data: a two-sided research agendaMihaela van der SchaarAlex ChanNick MaxfieldDecember 14, 2021
Invited talk at conference on interpretability, safety, and security in AIMihaela van der SchaarDecember 14, 2021
Revolutionizing Healthcare: how can AI/ML transform organ transplantation?Nick MaxfieldDecember 7, 2021
Revolutionizing Healthcare: getting ML-powered tools in the hands of clinicians (part 2)Nick MaxfieldOctober 28, 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
Revolutionizing Healthcare: getting ML-powered tools in the hands of clinicians (part 1)Nick MaxfieldOctober 4, 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
ICML 2021 tutorial: Synthetic healthcare data generation and assessmentMihaela van der SchaarAhmed AlaaJuly 28, 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
Andreas Bedorf
Mihaela van der Schaar
Nabeel Seedat
Sam Holt
Alihan Hüyük
Zhaozhi Qian
Eoin McKinney
Jeroen Berrevoets
Alicia Curth
Bogdan Cebere
Evgeny Saveliev
Nick Maxfield
Fergus Imrie
Alex Chan
Dan Jarrett
Ioana Bica
Ahmed Alaa
Jonathan Crabbé
