Mihaela van der Schaar appointed the Chief AI Scientist at the Francis Crick InstituteMarika NiihoriJune 24, 2026
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
Prof Mihaela van der Schaar to Deliver State-of-the-Art Lecture at EASL Congress 2026Marika NiihoriMay 13, 2026
ICML 2026: Research Frontiers at the van der Schaar LabMarika NiihoriMihaela van der SchaarMay 12, 2026
From Black Box to Biological Insight: Interpretable DNA Sequence Analysis with DEFTMarika NiihoriApril 21, 2026
The Future of Clinical Trials at the van der Schaar LabMarika NiihoriMihaela van der SchaarFebruary 23, 2026
Prof. Mihaela van der Schaar contributes to Nature Biotechnology Q&A on digital twinsMarika NiihoriOctober 15, 2025
van der Schaar Lab at ICML 2025: Record-Breaking Contributions Tackling Core Challenges in MLAndreas BedorfMay 6, 2025
van der Schaar Lab at ICLR 2025: Tackling fundamental real-world challengesAndreas BedorfApril 22, 2025
The Wisdom of Uncertainty: Why Saying ‘I Don’t Know’ and Asking Better Questions Builds Reliable AIMihaela van der SchaarApril 21, 2025
The Next Genomics Frontier: From Risk Prediction to Digital TwinsMihaela van der SchaarApril 21, 2025
From Synthetic Data to Digital Twins: The Next Frontier in Machine LearningMihaela van der SchaarApril 21, 2025
Inspiration Exchange: Genies – Next-Generation AI-AgentsMihaela van der SchaarAndreas BedorfMarch 31, 2025
Mihaela van der Schaar appointed as Spinoza Guest Professor at Amsterdam UMCAndreas BedorfFebruary 27, 2025
Van der Schaar Lab at NeurIPS 2024: Pioneering Reality-Centric AI with GenAIvan der Schaar labDecember 6, 2024
CliMB: An AI-enabled Partner for Clinical Predictive ModellingTim SchubertEvgeny SavelievMihaela van der SchaarNovember 20, 2024
Revolutionizing Healthcare: Putting Clinicians in the Driver’s Seat: Building a No-Code AI/ML Partner to Empower CliniciansAndreas BedorfOctober 2, 2024
Causal Deep Learning: Encouraging Impact on Real-world Problems Through CausalityAndreas BedorfAugust 8, 2024
Why Tabular Foundation Models Should Be a Research PriorityBoris van BreugelMihaela van der SchaarMay 29, 2024
Building AI that clinicians and patients can trust – how to deal with ‘Generalization’Andreas BedorfMay 21, 2024
Training AI models to answer ‘what if?’ questions could improve medical treatmentsSarah CollinsApril 19, 2024
L2MAC: Large Language Model Automatic Computer for Extensive Code GenerationJoseph GinsbergSam HoltApril 15, 2024
Using Machine Learning to Individualise Treatment Effect Estimation: Challenges and OpportunitiesAndreas BedorfJanuary 26, 2024
The Optimization Conundrum: Balancing Data, Speed, and Accuracy in Real-Time Machine LearningAndreas BedorfDecember 14, 2023
NeurIPS 2023: Data-Centric AI for reliable and responsible AINabeel SeedatMihaela van der SchaarNovember 21, 2023
Revolutionizing Healthcare – AI Education for Clinicians: New Skills for a New EraAndreas BedorfOctober 23, 2023
Revolutionizing Healthcare: Gathering expertise: which AI skills should medical professionals learn?Tim SchubertTim OosterlinckSeptember 27, 2023
The governance of artificial intelligence – CCAIM Professor Mihaela van der Schaar makes recommendations to governmentAndreas BedorfSeptember 18, 2023
van der Schaar Lab at ICML 2023: 6 papers accepted on causal deep learning, clinical trials, treatment effect estimation, synthetic data and deep learning for tabular dataAndreas BedorfJuly 11, 2023
Prof Mihaela van der Schaar speaks with the BBC about how AI is already improving our livesAndreas BedorfJune 20, 2023
Revolutionising Pharmacological Predictions with Synthetic Model Combination Mihaela van der SchaarAndreas BedorfMay 15, 2023
Automated machine learning as a partner in predictive modellingThomas CallenderMihaela van der SchaarApril 26, 2023
Data-Centric AI: What is it all about?Nabeel SeedatMihaela van der SchaarAndreas BedorfMarch 24, 2023
Synthcity and using Synthetic DataZhaozhi QianBogdan CebereMihaela van der SchaarAndreas BedorfJanuary 24, 2023
The map of causal deep learningJeroen BerrevoetsKrzysztof KacprzykZhaozhi QianMihaela van der SchaarDecember 2, 2022
We discuss the future of clinical trials with cliniciansAndreas BedorfMihaela van der SchaarNovember 22, 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
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 MatchingDaniel 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 AlaaDaniel 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 SchaarDaniel 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 QianDaniel JarrettIoana BicaMay 15, 2020
Progress using COVID-19 patient data to train machine learning models for healthcareMihaela van der SchaarApril 3, 2020
The role of Synthetic Data in Biomedical Research and Clinical Risk PredictionAndreas BedorfSeptember 19, 2018
New research shows machine learning could significantly augment clinical decision-making in cystic fibrosis careNick MaxfieldAugust 2, 2018
Living up to the Aspiration: how the van der Schaar Lab is revolutionising healthcareAndreas BedorfJune 18, 2018
The van der Schaar Lab’s Zhaozhi Qian progresses to a postdoc position with usAndreas BedorfApril 3, 2018
Marika Niihori
Mihaela van der Schaar
Andreas Bedorf
Tim Schubert
van der Schaar lab
Evgeny Saveliev
Nabeel Seedat
Boris van Breugel
Nicolas Huynh
Yangming Li
Sarah Collins
Joseph Ginsberg
Sam Holt
Tim Oosterlinck
Thomas Callender
Jeroen Berrevoets
Zhaozhi Qian
Bogdan Cebere
Tennison Liu
Fergus Imrie
Krzysztof Kacprzyk
Alihan Hüyük
Eoin McKinney
Alicia Curth
Nick Maxfield
Daniel Jarrett
Ioana Bica
Ahmed Alaa
Jonathan Crabbé
James Jordon
Alexis Bellot
Yao Zhang
Changhee Lee
Jinsung Yoon
