www.vanderschaar-lab.com

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• property: og:title content: The van der Schaar Lab: Machine learning and AI for medicine // van der Schaar Lab
• property: og:description content: Join our lab! The van der Schaar lab is a world-leading research group led by Mihaela van der Schaar, John Humphrey Plummer Professor of Machine Learning, AI and Medicine at the University of Cambridge. We develop cutting-edge machine learning & AI theory and methods, with the goal of developing Reality-Centric AI. Does this sound interesting? […]
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• property: og:site_name content: van der Schaar Lab
• property: article:modified_time content: 2025-09-17T08:34:22+00:00
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• https://www.vanderschaar-lab.com/
• The lab
• Mihaela van der Schaar
• Research Team
• Funding
• Clinical partners
• Publications
• Big ideas
• News
• Videos
• Events
• Software
• Engagement sessions
• Revolutionizing Healthcare
• Revolutionizing Healthcare: Session Archive
• Inspiration Exchange
• https://www.vanderschaar-lab.com/engagement-sessions/exploring-human-and-machine-intelligence/
• WeCREATE
• 2025 open house
• 2024 open house
• 2023 open house
• 2022 open house
• 2021 open house
• Cambridge Summer Schools 2025
• Research pillars
• MICCAI 2024: Data-centric & Dynamic learning
• NeurIPS 2023: Data-Centric AI for reliable and responsible AI Tutorial
• IJCAI-23: Data-Centric AI Tutorial
• AAAI-23: Synthetic Data Tutorial
• AAAI-22: Time series in healthcare
• Individualized treatment effect inference
• ICML 2021: Synthetic Healthcare Data Generation and Assessment
• ICML 2020: Machine Learning for Healthcare: Challenges, Methods, and Frontiers
• AI4Science
• Automated machine learning
• Causal deep learning
• Clustering
• Data-Centric AI
• Digital Twins
• Causal Effect Inference
• Interpretable Machine Learning
• Next-gen clinical trials
• Quantitative epistemology
• Self-supervised, semi-supervised, and multi-view learning
• Survival analysis, competing risks, and comorbidities
• Overview
• Privacy challenge
• Time series
• Uncertainty quantification
• Our lab’s impact
• TemporAI
• CliMB
• DC-Check
• What is Data-Centric AI?
• DC-Check: about the Tool
• Resources
• Overview
• Demonstrator: Synthetic Data
• Demonstrator: Survival Analysis
• Early detection and diagnosis
• A Foundational Framework for Personalized Early and Timely Diagnosis
• The future of clinical trials
• Cardiovascular Disease
• Pharmacology
• Machine Learning meets Pharmacology
• Revolutionising Pharmacological Predictions with Synthetic Model Combination 
• Alzheimer’s
• Our projects
• Prostate Cancer
• Breast cancer
• Our projects
• Announcements
• Policy Impact Predictor
• Cystic fibrosis
• Organ transplantation
• Hub for Healthcare
• Connect
• Ph.D. applications
• Cambridge Summer Schools 2026
• Reality-Centric AI
• van der Schaar Lab @ ICLR 2026
• van der Schaar Lab @ AISTATS 2026
• Mentoring Early-Career Machine Learning Researchers
• van der Schaar Lab in San Diego! NeurIPS 2025
• van der Schaar Lab at NeurIPS 2025: Explained
• Prof. Mihaela van der Schaar contributes to Nature Biotechnology Q&A on digital twins
• Celebrating our 2025 PhD graduates!
• van der Schaar Lab at NeurIPS 2025
• Understanding Digital Twins
• Revolutionizing Healthcare: Putting Clinicians in the Driver’s Seat: Building a No-Code AI/ML Partner to Empower Clinicians
• WeCREATE: Inspiration Session 3 — Responsible AI
• Revolutionizing Healthcare: What data do I need?
• Inspiration Exchange: Revolutionizing Clinical Trials with Machine Learning
• Inspiration Exchange: Causal Deep Learning
• Revolutionizing Healthcare:
• Inspiration Exchange: Synthetic Data
• https://www.vanderschaar-lab.com/genies-the-future-of-ai-agents/
• https://www.vanderschaar-lab.com/the-agent-network/
• http://www.vanderschaar-lab.com/the-case-for-reality-centric-ai/
• http://www.vanderschaar-lab.com/join-the-van-der-schaar-lab/
• http://www.vanderschaar-lab.com/engagement-sessions/
• AI
• AISTATS
• Augmented MD
• AutoML
• Award
• Cambridge Adjutorium
• Cancer
• causal-deep-learning
• Causal inference
• Clinical trials
• Clinicians
• Clustering & phenotyping
• Conference
• COVID-19
• creativity
• Data-Centric AI
• Deep learning
• Early diagnosis
• genomics
• ICLR
• ICML
• Interpretability
• ITE inference
• Journal
• machine learning
• Missing data imputation
• ML
• ML tools
• Model
• neural-differential-equations
• NeurIPS
• Organ transplantation
• Paper
• Personalized medicine
• Policy Impact Predictor
• Quantitative epistemology
• Reinforcement learning
• Research team
• revolutionizing healthcare
• Software
• Statistics
• Synthetic data
• Time series analysis
• Tutorial
• Understanding decision-making
• Inspiration Exchange #52
• Revolutionizing Healthcare #49

• AutoPrognosis 2.0
• SynthCity
• https://www.linkedin.com/in/mihaela-van-der-schaar/
• https://twitter.com/MihaelaVDS
• https://www.youtube.com/vanderSchaarLab
• https://github.com/vanderschaarlab
• https://www.damtp.cam.ac.uk/
• https://www.ee.ucla.edu/
• https://www.turing.ac.uk/

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