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
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
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
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
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
Revolutionizing Healthcare: getting ML-powered tools in the hands of clinicians (part 1)Nick MaxfieldOctober 4, 2021
ICML 2021 tutorial: Synthetic healthcare data generation and assessmentMihaela van der SchaarAhmed AlaaJuly 28, 2021
Making machine learning interpretable: a dialog with cliniciansMihaela van der SchaarNick MaxfieldJune 9, 2021
Revolutionizing Healthcare: roundtable on personalized therapeutics and individualized treatment effectsNick MaxfieldJune 2, 2021
Inspiration Exchange: individualized treatment effect inference (first session)Nick MaxfieldMay 4, 2021
Revolutionizing Healthcare: second roundtable on interpretability in ML/AI for healthcareNick MaxfieldMay 3, 2021
Revolutionizing Healthcare: roundtable on interpretability in ML/AI for healthcareNick MaxfieldMihaela van der SchaarApril 2, 2021
Inspiration Exchange: application-oriented projects in machine learning for healthcareNick MaxfieldMihaela van der SchaarApril 1, 2021
Revolutionizing Healthcare: ML tools for cancer (post-diagnosis care)Nick MaxfieldMihaela van der SchaarMarch 2, 2021
Revolutionizing Healthcare: ML tools for cancer (risks, screening, diagnosis)Nick MaxfieldMihaela van der SchaarJanuary 29, 2021
Inspiration Exchange: synthetic data concepts and approachesNick MaxfieldMihaela van der SchaarJanuary 29, 2021
Inspiration Exchange: recent projects in machine learning for healthcareNick MaxfieldMihaela van der SchaarDecember 8, 2020
Revolutionizing Healthcare: a framework for ML for healthcareNick MaxfieldMihaela van der SchaarNovember 12, 2020
Inspiration Exchange: software packages for automated machine learningNick MaxfieldMihaela van der SchaarNovember 10, 2020
Presentation on AutoML and interpretability (Microsoft Research event)Mihaela van der SchaarOctober 6, 2020
Inspiration Exchange: automated machine learning pipelinesNick MaxfieldMihaela van der SchaarOctober 6, 2020
Revolutionizing Healthcare: what machine learning can offer healthcareNick MaxfieldMihaela van der SchaarSeptember 30, 2020
Revolutionizing healthcare: an invitation to clinical professionals everywhereMihaela van der SchaarNick MaxfieldSeptember 22, 2020
Inspiration Exchange: introduction to automated machine learningNick MaxfieldMihaela van der SchaarSeptember 2, 2020
MiLeTS 2020: Machine Learning for Healthcare in the COVID-19 EraMihaela van der SchaarAugust 24, 2020
ICML 2020: Automated ML and its transformative impact on medicine and healthcareMihaela van der SchaarJuly 18, 2020
ICML 2020: Learning despite the unknown – missing data imputation in healthcareMihaela van der SchaarJuly 17, 2020
ICML 2020: Machine Learning for Healthcare: Challenges, Methods, and FrontiersMihaela van der SchaarJuly 13, 2020
ICME 2020 keynote: A Nationally-Implemented AI Solution for COVID-19Mihaela van der SchaarJuly 7, 2020
Announcing the NeurIPS 2020 hide-and-seek privacy challengeJames JordonMihaela van der SchaarNick MaxfieldMay 21, 2020
Why medicine is creating exciting new frontiers for machine learningMihaela van der SchaarApril 30, 2020
Turing Lecture: Transforming medicine through AI-enabled healthcare pathwaysMihaela van der SchaarJune 3, 2019
Mihaela van der Schaar’s 2018 Oon International Award and Lecture in Preventative MedicineNick MaxfieldNovember 20, 2018
2018 Oon Lecture – Medicine 2.0: Transforming Clinical Practice and Discovery Through Machine Learning and Learning EnginesMihaela van der SchaarNovember 20, 2018
AI for social good: Machine learning and data science for medicineMihaela van der SchaarFebruary 12, 2018
Turing Lecture: Medicine 2.0 – Using Machine Learning to Transform Medical Practice and DiscoveryMihaela van der SchaarMay 4, 2017
Turing short talk: Machine learning, data science and decisions for a better planetMihaela van der SchaarOctober 24, 2016
Andreas Bedorf
Tim Schubert
Tim Oosterlinck
Evgeny Saveliev
Mihaela van der Schaar
Nabeel Seedat
Zhaozhi Qian
Bogdan Cebere
Tennison Liu
Fergus Imrie
Sam Holt
Jeroen Berrevoets
Nick Maxfield
Alex Chan
Ahmed Alaa
James Jordon
Ioana Bica
Daniel Jarrett
