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
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
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
Building AI that clinicians and patients can trust – how to deal with ‘Generalization’Andreas BedorfMay 21, 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
Revolutionizing Healthcare – AI Education for Clinicians: New Skills for a New EraAndreas BedorfOctober 23, 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
Data-Centric AI: What is it all about?Nabeel SeedatMihaela van der SchaarAndreas BedorfMarch 24, 2023
Inspiration Exchange: Revolutionizing Clinical Trials with Machine LearningAndreas BedorfMarch 22, 2023
Revolutionizing Healthcare: Concrete steps for clinicians to make machine learning a reality in a clinical settingAndreas BedorfMarch 14, 2023
Revolutionizing Healthcare: Machine Learning Interpretability – Making ML output useful and actionable for clinicians and researchers.Andreas BedorfFebruary 6, 2023
Synthcity and using Synthetic DataZhaozhi QianBogdan CebereMihaela van der SchaarAndreas BedorfJanuary 24, 2023
We discuss the future of clinical trials with cliniciansAndreas BedorfMihaela van der SchaarNovember 22, 2022
Revolutionizing Healthcare: AutoPrognosis: Using the next generation of ML toolsAndreas BedorfOctober 26, 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
The role of Synthetic Data in Biomedical Research and Clinical Risk PredictionAndreas BedorfSeptember 19, 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
Andreas Bedorf
Mihaela van der Schaar
Nabeel Seedat
Zhaozhi Qian
Bogdan Cebere
Marika Niihori
Tennison Liu
Fergus Imrie
