Oxford-Novartis Collaboration for AI in Medicine
About us
The Novartis-Oxford BDI Collaboration for AI in Medicine is a unique large-scale collaboration between the Big Data Institute (BDI) and the international pharmaceutical company Novartis. It is led by Dr. Habib Ganjgahi and Professor Thomas Nichols on the Oxford side, and by Dr. Dieter Haering and Professor Bernd Kieseier on the Novartis side. The collaboration brings together the University of Oxford's Big Data Institute expertise in statistical machine learning and AI with Novartis’s applied problems in drug discovery and development, as well as its rich, high-quality clinical trial database collected over the past 20 years in MS (NO-MS database). The alliance focuses on improving our understanding of multiple sclerosis disease progression and how to interfere with it. By integrating large-scale multimodal data with advanced analytics, the project aims to inform the discovery and development of future therapies and improve the practical management of MS.
Our team
Principal Investigators
Dr Dieter Haering
Professor Bernd Kieseier
Advising experts
researchers
Dr Laura Gaetano
Piet Aarden
Stephen Gardiner
Dr Daniel Delbarre
Dr Graham Gordon
Roman Willi
Dr Beth Fisher
PhD Students
scientific computing
Marie-Catherine Mousseau
Project Managers
Sharon Healy
What's new
Any level of alcohol consumption increases risk of dementia
24 September 2025
Any amount of alcohol consumption may increase risk of dementia, according to the most comprehensive study of alcohol consumption and dementia risk to date.
selected publications
AI-driven reclassification of multiple sclerosis progression.
Journal article
Ganjgahi H. et al, (2025), Nat Med
A scalable approach for continuous time Markov models with covariates.
Journal article
Hatami F. et al, (2024) Biostatistics, 25(3):681-701
Prognostic factors for worsening and improvement in multiple sclerosis using a multistate model.
Journal article
A Ocampo et al, (2024), Mult Scler, 30(11-12):1455-1467
How patients with multiple sclerosis acquire disability.
Journal article
Lublin FD. et al, (2022), Brain : a journal of neurology, 145, 3147 - 3161
Journal article
Mallon A-M. et al, (2021), BMC medical research methodology, 21
Journal article
A-M. Mallon, et al, (2021), BMC Medical Research Methodology, 21
Journal article
Dahlke F. et al, (2021), Multiple sclerosis (Houndmills, Basingstoke, England), 27, 2062 - 2076