From Phenomena to Problems: Open-Beginningness and the Next Frontier of AIMihaela van der SchaarJune 22, 2026
From AI Methods to Clinical-Trial Transformation: Ten Years of Research at the van der Schaar Lab ResearchMihaela van der SchaarMarika NiihoriJune 2, 2026
Clinical Trials as Continuously Learning SystemsMihaela van der SchaarMarika NiihoriFebruary 12, 2026
AI Agents: Past, Present, and Future Mihaela van der SchaarTennison LiuMarika NiihoriSeptember 10, 2025
Are AI Agents Ready for the Labor Markets of Tomorrow?Simpson ZhangTennison LiuMihaela van der SchaarMay 29, 2025
CliMB: An AI-enabled Partner for Clinical Predictive ModellingTim SchubertEvgeny SavelievMihaela van der SchaarNovember 20, 2024
Why Tabular Foundation Models Should Be a Research PriorityBoris van BreugelMihaela van der SchaarMay 29, 2024
A Foundational Framework for Personalized Early and Timely DiagnosisTim SchubertMihaela van der SchaarDecember 1, 2023
Prescription for Perfect Data: Four Machine Learning Antidotes for Improving Clinical DataMihaela van der SchaarApril 5, 2023
Synthetic data: breaking the data logjam in machine learning for healthcareMihaela van der SchaarZhaozhi QianBoris van BreugelNick MaxfieldFebruary 3, 2023
The map of causal deep learningJeroen BerrevoetsKrzysztof KacprzykZhaozhi QianMihaela van der SchaarDecember 2, 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
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
Generating and evaluating synthetic data: a two-sided research agendaMihaela van der SchaarAlex ChanNick MaxfieldDecember 14, 2021
Making machine learning interpretable: a dialog with cliniciansMihaela van der SchaarNick MaxfieldJune 9, 2021
Quantitative epistemology: conceiving a new human-machine partnershipMihaela van der SchaarNick MaxfieldMay 19, 2021
Revolutionizing healthcare: an invitation to clinical professionals everywhereMihaela van der SchaarNick MaxfieldSeptember 22, 2020
AutoML: powering the new human-machine learning ecosystemMihaela van der SchaarNick MaxfieldAugust 5, 2020
Center for Data Innovation: “5 Q’s for Mihaela van der Schaar”Nick MaxfieldMihaela van der SchaarMay 21, 2020
Why medicine is creating exciting new frontiers for machine learningMihaela van der SchaarApril 30, 2020
Mihaela van der Schaar
Marika Niihori
Tennison Liu
Simpson Zhang
Tim Schubert
Evgeny Saveliev
Boris van Breugel
Jeroen Berrevoets
Andrew Rashbass
Zhaozhi Qian
Nick Maxfield
Krzysztof Kacprzyk
Nabeel Seedat
Alihan Hüyük
Eoin McKinney
Alicia Curth
Bogdan Cebere
Alex Chan
