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Oxford-Novartis Collaboration for AI in Medicine

Membersof the Oxford-Novartis Collaboration for AI in Medicine team

Our team

Principal Investigators

Professor Thomas Nichols

Dr Habib Ganjgahi

Dr Dieter Haering

Professor Bernd Kieseier

Advising experts

Professor Chris Holmes

Professor Heinz Wiendl

Dr Robert Bermel

Dr Douglas Arnold

researchers

Dr Yang Sun

Dr Frederik Lange

Dr Bernd Taschler

Dr Xiaoyue Xi

Lawa Dilan

Yasmin Ghassaei

Dr Mélodie Monad

Dr Laura Gaetano

Piet Aarden

Stephen Gardiner

Dr Daniel Delbarre

Dr Graham Gordon

Roman Willi

Dr Beth Fisher

PhD Students

George Hutchings

Emma Prevot

Dylan Taylor

scientific computing

Adam Huffman

Marie-Catherine Mousseau

Project Managers

Natasha Sahgal

Sharon Healy

What's new

Any level of alcohol consumption increases risk of dementia

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 

Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis.

Journal article

Mallon A-M. et al, (2021), BMC medical research methodology, 21

Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis. 

Journal article

A-M. Mallon, et al, (2021), BMC Medical Research Methodology, 21

Characterisation of MS phenotypes across the age span using a novel data set integrating 34 clinical trials (NO.MS cohort): Age is a key contributor to presentation.

Journal article

Dahlke F. et al, (2021), Multiple sclerosis (Houndmills, Basingstoke, England), 27, 2062 - 2076