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van der Schaar Lab
United Kingdom
Приєднався 1 кві 2020
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 improving healthcare and medical knowledge.
We are one of the most prolific and diverse teams in our field, employing a wide range of ML approaches including deep learning, causal inference, AutoML, time series analysis, ensemble learning, and many more.
We develop cutting-edge machine learning & AI theory and methods, with the goal of improving healthcare and medical knowledge.
We are one of the most prolific and diverse teams in our field, employing a wide range of ML approaches including deep learning, causal inference, AutoML, time series analysis, ensemble learning, and many more.
Revolutionizing Healthcare - Core Concepts: AI Education for Clinicians
Recording of the van der Schaar Lab's thirty-ninth Revolutionizing Healthcare engagement session for clinicians which took place virtually on 9 December, 2024.
The session was led by Tim Schubert and Tim Oosterlinck, two visiting medical students at the van der Schaar Lab who were guiding the conversation.
In this session, We reflected on how much has changed since last year's conversation on AI education (watch the previous session here: ua-cam.com/video/1vB4NuUQPVk/v-deo.html). This year’s discussion focused on how AI education has evolved and the gaps that still remain.
To frame the discussion, Mihaela van der Schaar introduced the issue in general and explained how our lab is trying to contribute to AI Education through initiatives like Revolutionizing Healthcare and our Summer School for AI in Medicine (www.vanderschaar-lab.com/cambridge-ai-in-medicine-summer-school/).
Tim Schubert then presented our paradigm shifting paper on AI Education for clinicians that was recently published in eClinicalMedicine. In there, we distilled the key challenges of medical AI education to provide a structured discussion framework. In addition, we offer a three-tiered model of medical AI expertise and practical recommendations to guide stakeholders and institutions worldwide.
You can find the paper here: www.thelancet.com/journals/eclinm/article/PIIS2589-5370(24)00547-9/fulltext
We thank Prof Adam Rodman (Harvard Medical School), Prof Curtis Langlotz (Stanford University), and Finn Fassbender (University of Tübingen).
Introduction - 0:00
Session Overview - 2:38
Introduction by Mihaela - 3:18
AI Education by Tim Schubert - 7:12
Panel Discussion and Audience questions - 18:47
Intro to next sessions - 01:03:39
NOTE: This information was up-to-date at the time of the presentation but does not take into account material published since then.
As practising clinician, you can sign up for our upcoming sessions: www.vanderschaar-lab.com/engagement-sessions/revolutionizing-healthcare/#signup
The lab's publications are here: www.vanderschaar-lab.com/publications/
Mihaela van der Schaar on Twitter: MihaelaVDS
Mihaela van der Schaar on LinkedIn: www.linkedin.com/in/mihaela-van-der-schaar/
The session was led by Tim Schubert and Tim Oosterlinck, two visiting medical students at the van der Schaar Lab who were guiding the conversation.
In this session, We reflected on how much has changed since last year's conversation on AI education (watch the previous session here: ua-cam.com/video/1vB4NuUQPVk/v-deo.html). This year’s discussion focused on how AI education has evolved and the gaps that still remain.
To frame the discussion, Mihaela van der Schaar introduced the issue in general and explained how our lab is trying to contribute to AI Education through initiatives like Revolutionizing Healthcare and our Summer School for AI in Medicine (www.vanderschaar-lab.com/cambridge-ai-in-medicine-summer-school/).
Tim Schubert then presented our paradigm shifting paper on AI Education for clinicians that was recently published in eClinicalMedicine. In there, we distilled the key challenges of medical AI education to provide a structured discussion framework. In addition, we offer a three-tiered model of medical AI expertise and practical recommendations to guide stakeholders and institutions worldwide.
You can find the paper here: www.thelancet.com/journals/eclinm/article/PIIS2589-5370(24)00547-9/fulltext
We thank Prof Adam Rodman (Harvard Medical School), Prof Curtis Langlotz (Stanford University), and Finn Fassbender (University of Tübingen).
Introduction - 0:00
Session Overview - 2:38
Introduction by Mihaela - 3:18
AI Education by Tim Schubert - 7:12
Panel Discussion and Audience questions - 18:47
Intro to next sessions - 01:03:39
NOTE: This information was up-to-date at the time of the presentation but does not take into account material published since then.
As practising clinician, you can sign up for our upcoming sessions: www.vanderschaar-lab.com/engagement-sessions/revolutionizing-healthcare/#signup
The lab's publications are here: www.vanderschaar-lab.com/publications/
Mihaela van der Schaar on Twitter: MihaelaVDS
Mihaela van der Schaar on LinkedIn: www.linkedin.com/in/mihaela-van-der-schaar/
Переглядів: 192
Відео
Inspiration Exchange - AI Model Evaluations and Deployments
Переглядів 186День тому
Recording of the van der Schaar Lab's 41st Inspiration Exchange session, which took place on 3 December 2024, and was attended by students and professionals from the AI and machine learning community. In this session, we explore approaches to AI Safety and for ensuring reliable ML systems. We will explore novel ML approaches for model evaluation, as well as, deployment time adaptation of ML mod...
Digital Twins - Mihaela van der Schaar
Переглядів 521Місяць тому
Curious about why DigitalTwins are the new buzzword in machine learning and why our lab is leading the charge? Here I explain how these virtual representations of complex systems are reshaping complex problem-solving and their deep connection to causality. I'm also delving into how Digital Twins differ from synthetic data and causal inference - although they might profit from each other! This t...
Revolutionizing Healthcare - Core Concepts: Digital Twins
Переглядів 235Місяць тому
Recording of the van der Schaar Lab's thirty-eight Revolutionizing Healthcare engagement session for clinicians which took place virtually on 5 November, 2024. The session was led by Tim Schubert and Tim Oosterlinck, two visiting medical students at the van der Schaar Lab who were guiding the conversation. In this session, we tell you all about the latest research in the field - Digital Twins -...
Inspiration Exchange - Digital Twins
Переглядів 216Місяць тому
Recording of the van der Schaar Lab's 40th Inspiration Exchange session, which took place on 4 November 2024, and was attended by students and professionals from the AI and machine learning community. In this session, we explore explore Digital Twins, a novel area in machine learning focused on creating digital replicas of physical systems with advanced predictive capabilities. In particular, w...
Open House 2024
Переглядів 1 тис.Місяць тому
The van der Schaar Lab's 2024 open house took place on 17 October as a by-invitation event for collaborators and sponsors. Mihaela van der Schaar and members of the lab presented a cohesive vision for machine learning for healthcare, while demonstrating how this vision is already becoming reality through a range of world-leading research projects. Introduction - 0:00 Introductory presentation ...
Inspiration Exchange - Concept Bottleneck Models
Переглядів 2602 місяці тому
Recording of the van der Schaar Lab's 39th Inspiration Exchange session, which took place on 10 October 2024, and was attended by students and professionals from the AI and machine learning community. In this session, we explore Concept Bottleneck Models, an innovative approach in machine learning that enhances model interpretability and performance by leveraging human-interpretable concepts. V...
Revolutionizing Healthcare - Core Concepts: No-Code Virtual AI/ML Partner
Переглядів 3482 місяці тому
Recording of the van der Schaar Lab's thirty-seventh Revolutionizing Healthcare engagement session for clinicians which took place virtually on 1 October, 2024. The session was led by Tim Schubert and Tim Oosterlinck, two visiting medical students at the van der Schaar Lab who were guiding the conversation. During our CCAIM Clinical Summer School, we unveiled our no-code virtual data science pa...
Revolutionizing Healthcare - Speciality Spotlight: ML in Cardiology
Переглядів 2995 місяців тому
Recording of the van der Schaar Lab's thirty-sixth Revolutionizing Healthcare engagement session for clinicians which took place virtually on 26 June, 2024. The session was led by Tim Schubert and Tim Oosterlinck, two visiting medical students at the van der Schaar Lab who were guiding the conversation. In this session, we delve deep into the pivotal role of machine learning for Cardiology. Car...
Inspiration Exchange - Advanced topics in Diffusion Models
Переглядів 2225 місяців тому
Recording of the van der Schaar Lab's 38th Inspiration Exchange session, which took place on 13 June 2024, and was attended by students and professionals from the AI and machine learning community. In this session, we provide an overview of the latest advancements in this field. We highlight some of our lab's recent work presented at ICLR'24 and ICML'24, focusing on fundamental insights and imp...
Revolutionizing Healthcare - Core Concepts: ML for Treatment Effects
Переглядів 3786 місяців тому
Recording of the van der Schaar Lab's thirty-fifth Revolutionizing Healthcare engagement session for clinicians which took place virtually on 21 May, 2024. The session was led by Tim Schubert and Tim Oosterlinck, two visiting medical students at the van der Schaar Lab who were guiding the conversation. Treatment effect estimation helps to quantify the impact of specific medical interventions on...
Inspiration Exchange - Causality and Treatment Effect Estimation over time
Переглядів 3307 місяців тому
Recording of the van der Schaar Lab's 37th Inspiration Exchange session, which took place on 13 May 2024, and was attended by students and professionals from the AI and machine learning community. In this session, we present an overview of the state-of-the-art machine learning methods for estimating counterfactuals over time and explore open challenges for the field. We then motivate and explor...
Revolutionizing Healthcare - Speciality Spotlight: ML in Intensive Care
Переглядів 3297 місяців тому
Recording of the van der Schaar Lab's thirty-fourth Revolutionizing Healthcare engagement session for clinicians which took place virtually on 24 April, 2024. The session was led by Tim Schubert and Tim Oosterlinck, two visiting medical students at the van der Schaar Lab who were guiding the conversation. In this session, we delve deep into the pivotal role of machine learning within Intensive ...
Inspiration Exchange - Transforming Science with AI
Переглядів 1687 місяців тому
Recording of the van der Schaar Lab's 36th Inspiration Exchange session, which took place on 17 April 2024, and was attended by students and professionals from the AI and machine learning community. In this session, we explore how AI can transform science. We share recent advances in machine learning methods for scientific discovery and demonstrate new ways of extracting meaningful and interpre...
ML Advances for Multi-omics
Переглядів 1008 місяців тому
Insight recorded at the van der Schaar Lab's thirty-third Revolutionizing Healthcare engagement session for clinicians which took place virtually on 25 March, 2024 - "Core Concepts: Multi-omics". In this insight, Dr Fergus Imrie showcases cutting-edge ML techniques developed by the van der Schaar Lab in relation to Multi-omics. Dr Imrie is a postdoctoral scholar at the University of California,...
Revolutionizing Healthcare - Core Concepts: Multi-omics
Переглядів 4488 місяців тому
Revolutionizing Healthcare - Core Concepts: Multi-omics
Inspiration Exchange - Innovative Use Cases of LLMs Part 2
Переглядів 2329 місяців тому
Inspiration Exchange - Innovative Use Cases of LLMs Part 2
NeurIPS 2023 Tutorial - Data-Centric AI for reliable and responsible AI
Переглядів 9789 місяців тому
NeurIPS 2023 Tutorial - Data-Centric AI for reliable and responsible AI
Revolutionizing Healthcare - Speciality Spotlight: AI in Oncology
Переглядів 2869 місяців тому
Revolutionizing Healthcare - Speciality Spotlight: AI in Oncology
Inspiration Exchange - Large Language Models
Переглядів 3409 місяців тому
Inspiration Exchange - Large Language Models
Revolutionizing Healthcare - Second Session on Large Language Models
Переглядів 31810 місяців тому
Revolutionizing Healthcare - Second Session on Large Language Models
Inspiration Exchange - Double Descent and Ensemble Learning
Переглядів 40811 місяців тому
Inspiration Exchange - Double Descent and Ensemble Learning
Revolutionizing Healthcare - Speaking Our Language: How Large Language Models Will Impact Healthcare
Переглядів 408Рік тому
Revolutionizing Healthcare - Speaking Our Language: How Large Language Models Will Impact Healthcare
Inspiration Exchange - Personalised Monitoring
Переглядів 225Рік тому
Inspiration Exchange - Personalised Monitoring
Revolutionizing Healthcare - Timely & Early Diagnosis
Переглядів 238Рік тому
Revolutionizing Healthcare - Timely & Early Diagnosis
Inspiration Exchange - Synthetic Data & Simulators
Переглядів 308Рік тому
Inspiration Exchange - Synthetic Data & Simulators
Revolutionizing Healthcare - AI Education for Clinicians: New Skills for a New Era
Переглядів 602Рік тому
Revolutionizing Healthcare - AI Education for Clinicians: New Skills for a New Era