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# CCAIM

## Sitemaps

- [XML Sitemap](https://ccaim.uk/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [Blog](https://ccaim.uk/blog/)
- [New roadmap explores how causal inference and digital twins could transform clinical trials](https://ccaim.uk/clinical-trials-perspective/) - A new Perspective published in npj Digital Medicine from CCAIM brings together academic and industry partners, led by Professor Mihaela van der Schaar, to explore how causal inference and digital twins could support more adaptive, efficient and patient-centred clinical trials.
- [CCAIM at NeurIPS 2025](https://ccaim.uk/neurips-2025/) - Researchers from the Cambridge Centre for AI in Medicine have had a total of 11 papers accepted for the thirty-ninth Conference on Neural Information Processing Systems (NeurIPS) at the San Diego Convention Centre, 2 – 7 December 2025. CCAIM at NeurIPS 2025
- [Partnering with Cambridge: AI to Revolutionise Clinical Trials](https://ccaim.uk/ccaim-cuhp-clinical-trials-ai/) - On 24 February 2026, CCAIM and Cambridge University Health Partners co-hosted “Partnering with Cambridge: AI to Revolutionise Clinical Trials” at the Ray Dolby Centre. The event brought together leaders from academia, industry, and regulation, marking an important first step in building closer collaboration around AI-enabled clinical trials.
- [Highlights from the 2026 CCAIM Symposium](https://ccaim.uk/ccaim-symposium2026/) - The annual CCAIM Symposium showcased cutting-edge research from across the CCAIM community while bringing together experts from academia, healthcare and industry to discuss the future of AI in biomedicine.
- [CCAIM Announces Partnership with Takeda](https://ccaim.uk/ccaim-takeda/) - CCAIM Announces Partnership with Takeda to Advance AI’s Impact in Pharmaceutical R&D.
- [AI-Enabled Clinical Trials: Advancing a Core Pillar of CCAIM's Vision](https://ccaim.uk/ai-enabled-clinical-trials/) - AI-enabled clinical trials have been a core pillar of CCAIM's vision from the beginning. Discover the research advancing more adaptive, personalised and intelligent clinical development.
- [Prof van der Schaar to deliver State-of-the-Art Lecture at EASL Congress 2026](https://ccaim.uk/vds-easl-2026/) - Professor Mihaela van der Schaar will deliver a State-of-the-Art Keynote at EASL Congress 2026 in Barcelona, where she will discuss cutting-edge machine learning for liver health and how AI can move beyond static prediction toward systems that reason about disease progression, treatment response, patient heterogeneity, and clinical decision-making.
- [Research spotlight: Interpretable DNA sequence analysis with Nicolas Huynh and Prof David Bentley](https://ccaim.uk/interpretable-dna-sequence/) - Nicolas Huynh and Prof David Bentley discuss their AISTATS 2026 paper on interpretable DNA sequence analysis, introducing DEFT — a framework that brings together accuracy and interpretability in genomics.
- [CCAIM researchers publish manifesto on AI-driven transformation of clinical trials](https://ccaim.uk/ccaim-manifesto-on-ai/) - The CCAIM has published a landmark manifesto outlining how AI technologies - causal inference and digital twins - can transform clinical trials. This collaborative publication, co-authored with all CCAIM strategic partners - AstraZeneca, GSK, Sanofi, Boehringer Ingelheim, and QuantumBlack - charts a roadmap for faster, safer, and more inclusive medical research. CCAIM researchers publish a landmark manifesto on using AI, causal inference, and digital twins to transform clinical trials for patient benefit.
- [CCAIM Announces Strategic Collaboration with McKinsey & Company to Accelerate AI-Driven Innovation in Life Sciences and Healthcare](https://ccaim.uk/ccaim-mckinsey-collaboration/) - The Cambridge Centre for AI in Medicine (CCAIM) is pleased to announce a strategic collaboration with McKinsey & Company, and its artificial intelligence (AI) arm, QuantumBlack, aimed at accelerating the development and implementation of cutting-edge AI solutions in the life sciences. This collaboration will combine CCAIM’s world-class foundational research in AI, machine learning, and biomedical sciences with
- [Mihaela van der Schaar appointed as Spinoza Guest Professor at Amsterdam UMC](https://ccaim.uk/mihaela-van-der-schaar-appointed-as-spinoza-guest-professor-at-amsterdam-umc/) - We are pleased to announce that Prof Mihaela van der Schaar has been appointed as the Spinoza Guest Professor at Amsterdam UMC. During March, she will deliver lectures on the future of AI, a master class exploring its transformative potential in healthcare and beyond, and first and foremost meet researchers and students in Amsterdam. It’s
- [CCAIM at NeurIPS 2024](https://ccaim.uk/ccaim-at-neurips-2024/) - Researchers from the Cambridge Centre for AI in Medicine are presenting a record-breaking 17 papers at the thirty-eighth Conference on Neural Information Processing Systems (NeurIPS) at the Vancouver Convention Center, 10 - 15 December 2024. In the below document, we present a comprehensive overview of the CCAIM contributions, papers, and workshop participations for 2023. We
- [CliMB: An AI-enabled Partner for Clinical Predictive Modelling](https://ccaim.uk/climb-an-ai-enabled-partner-for-clinical-predictive-modelling/) - Ready for the next big leap in making AI truly accessible? Today, we are excited to release CliMB, our no-code AI-enabled partner for clinical predictive modelling. Despite the significant promise, real-world applications of cutting-edge machine learning remain limited. In fact, clinician scientists face substantial barriers in accessing state-of-the-art tools. While AutoML has been designed as
- [CCAIM Announces Strategic Partnership with Industry Leaders](https://ccaim.uk/ccaim-announces-strategic-partnership-with-industry-leaders/) - CCAIM Announces Strategic Partnership with Industry Leaders AstraZeneca, Boehringer Ingelheim, and GSK.

## Pages

- [Home](https://ccaim.uk/) - Cambridge Centre for AI in Medicine Developing novel artificial intelligence and machine learning technologies to revolutionise biomedical science, medicine and healthcare “AI and machine learning have the potential to truly revolutionise the delivery of healthcare, to the great benefit of patients, clinicians and the wider medical ecosystem.“ Professor Mihaela van der Schaar, Director “From tackling the immediate
- [News](https://ccaim.uk/news/)
- [Seminar Series](https://ccaim.uk/seminar-series/) - Seminar Series We’re hosting a series of free online seminars featuring the most influential and visionary scientists in the world. Sign up to our mailing list Watch all previous Seminars on YouTube Upcoming Seminars 21 July 2026. Validated AI systems and their struggle to scale in healthcareJoin our Operations and Technology Management seminar at the
- [Strategic Partnerships](https://ccaim.uk/strategic-partnerships/) - Strategic Partnerships The Cambridge Centre for AI in Medicine (CCAIM) is pleased to maintain a groundbreaking strategic partnership with leading companies AstraZeneca, Boehringer Ingelheim, GSK, McKinsey & Company, and its artificial intelligence (AI) arm, QuantumBlack, Sanofi and Takeda. This collaboration aims to harness the power of artificial intelligence and machine learning to drive innovation in medical research
- [About](https://ccaim.uk/about/)
- [Annual Reports](https://ccaim.uk/annual-reports/) - CCAIM Reports Find here our yearly reports, summarising the work at CCAIM 29 January 2026 - CCAIM ANNUAL Report 2025 CCAIM Annual Report 2025 finalDownload 13 January 2025 CCAIM Annual Report 2024Download 31 January 2024 CCAIM-ISAB-Report-31-January-2024Download 30 January 2023 CCAIM-ISAB-Report-January-2023Download
- [Affiliated PhD Students and Postdocs](https://ccaim.uk/affiliated-phd-students-and-postdocs/) - Affiliated PhD Students Paulius Rauba van der Schaar Lab Nabeel Seedat van der Schaar Lab Julianna Piskorz van der Schaar Lab Harry Amad van der Schaar Lab Maria Ntemourtsidou Floto Lab Tristan Trébaol Floto Lab Stelios Boulitsakis Logothetis Angela Wood Greta Markert Florian Markowetz Ang Li Florian Markowetz Courtney Kremler Will Brown Kevin Ly Mo
- [Cambridge Summer School 2026](https://ccaim.uk/cambridge-summer-school-2026/) - Cambridge Summer School 2026 We are pleased to invite you to join us for two exciting Summer Schools this year! Machine Learning for HealthcareSummer School for data scientists, students, academics, and industry experts with an existing background in AI and machine learning technical, cutting-edge, reality-centric 7 to 11 September 2026 AI and Machine Learning Summer
- [Faculty](https://ccaim.uk/faculty/) - Faculty Prof Sarah Amalia Teichmann FMedSci FRS Professor of Stem Cell Medicine, Cambridge Stem Cell Institute/Department of Medicine, Clinical School, University of Cambridge Prof Teichmann is a world-leading scientist who combines her expertise in computational and systems biology with single-cell biology, genomics and immunology. She applies her knowledge using novel approaches to answer questions fundamental to
- [Our Students](https://ccaim.uk/our-students/) - Our Students Alexander Norcliffe (2021) Department of Computer Science and Technology Academic Supervisors: Prof Pietro Lio and Prof Mihaela van der Schaar Industry Supervisor: Dr Patrick Schwab (GSK) Julien Horwood (2022) Department of Engineering Academic Supervisors: Prof José Miguel Hernández-Lobato, Prof Andres Floto, and Prof Pietro Lio Industry Supervisor: Dr Dino Oglic (AstraZeneca) Maciej Wiatrak (2022) Department of Medicine
- [Leadership](https://ccaim.uk/leadership/) - Leadership Professor Mihaela van der Schaar Director - AI Lead Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge. In addition to leading the van der Schaar Lab, she was elected IEEE Fellow in 2009 and Fellow of the Royal Society in 2024. Professor
- [Staff](https://ccaim.uk/staff/) - Staff Operations Mihaela Anca Centre Manager Miha acts as intermediary between all parties involved in CCAIM. She oversees the development, delivery and evaluation of the Centre’s projects. She is passionate about helping people connect to achieve the best possible outcome and impact for CCAIM. Miha has a background in Economics and has worked in variety of finance
- [Conference Archive](https://ccaim.uk/conference-archive/) - Conference Archive CCAIM Faculty members appear consistently at the world-leading AI and Machine Learning conferences. It is one of our core aims to present our work at the most prominent annual gatherings of researchers, globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in a wide array of fields
- [Cambridge Summer School 2025](https://ccaim.uk/cambridge-summer-schools-2025/) - Cambridge Summer School 2025 We are pleased to invite you to join us for two exciting Summer Schools this year! AI and Machine LearningSummer School for data scientists, students, academics, and industry experts with an existing background in AI and machine learning technical, cutting-edge, reality-centric 1 to 5 September 2025 AI and Machine Learning Summer
- [Our Research](https://ccaim.uk/our-research/) - Our Research Research papers published in leading journals and accepted at renowned machine learning conferences. You can find our Conference Appearances here Our main Research areas Biomedical Discovery Scientists are currently hampered in the discovery of optimal drug targets by a failure to understand biological processes at a systems level.Our aim in the biomedical arena
- [Events](https://ccaim.uk/events-2/)
- [Papers](https://ccaim.uk/papers/)
- [Events](https://ccaim.uk/events/)
- [People](https://ccaim.uk/people/)

## Categories

- [Uncategorized](https://ccaim.uk/category/uncategorized/)
- [Uncategorised](https://ccaim.uk/category/uncategorised/)
- [News](https://ccaim.uk/category/news/)
- [Conferences](https://ccaim.uk/category/conferences/)

## Tags

- [Digital Twins](https://ccaim.uk/tag/digital-twins/)
- [Takeda](https://ccaim.uk/tag/takeda/)
- [Partnerships](https://ccaim.uk/tag/partnerships/)
- [Clinical Trials](https://ccaim.uk/tag/clinical-trials/)
- [Publication](https://ccaim.uk/tag/publication/)
- [Causal Inference](https://ccaim.uk/tag/causal-inference/)