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Journal articleVano LJ, McCutcheon RA, Sedlacik J, et al., 2025,
The role of low subcortical iron, white matter myelin, and oligodendrocytes in schizophrenia: a quantitative susceptibility mapping and diffusion tensor imaging study
, MOLECULAR PSYCHIATRY, ISSN: 1359-4184 -
Journal articleAi R, Xiao X, Deng S, et al., 2025,
Artificial intelligence in drug development for delirium and Alzheimer's disease
, Acta Pharmaceutica Sinica B, Vol: 15, Pages: 4386-4410, ISSN: 2211-3835Delirium is a common cause and complication of hospitalization in the elderly and is associated with higher risk of future dementia and progression of existing dementia, of which 70% is Alzheimer’s disease (AD). AD and delirium, which are known to be aggravated by one another, represent significant societal challenges, especially in light of the absence of effective treatments. The intricate biological mechanisms have led to numerous clinical trial setbacks and likely contribute to the limited efficacy of existing therapeutics. Artificial intelligence (AI) presents a promising avenue for overcoming these hurdles by deploying algorithms to uncover hidden patterns across diverse data types. This review explores the pivotal role of AI in revolutionizing drug discovery for AD and delirium from target identification to the development of small molecule and protein-based therapies. Recent advances in deep learning, particularly in accurate protein structure prediction, are facilitating novel approaches to drug design and expediting the discovery pipeline for biological and small molecule therapeutics. This review concludes with an appraisal of current achievements and limitations, and touches on prospects for the use of AI in advancing drug discovery in AD and delirium, emphasizing its transformative potential in addressing these two and possibly other neurodegenerative conditions.
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Conference paperPatel KHK, Bajaj N, Statton BK, et al., 2025,
WEIGHT LOSS REVERSES ADVERSE STRUCTURAL, ELECTROPHYSIOLOGICAL AND AUTONOMIC REMODELLING IN OBESITY
, Publisher: OXFORD UNIV PRESS, Pages: i3-i3, ISSN: 0032-5473 -
Journal articleLi S, Zhuang B, Cui C, et al., 2025,
Prognostic significance of myocardial fibrosis in men with alcoholic cardiomyopathy: insights from cardiac MRI
, EUROPEAN RADIOLOGY, Vol: 35, Pages: 5594-5603, ISSN: 0938-7994- Cite
- Citations: 1
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Journal articleVano LJ, McCutcheon RA, Sedlacik J, et al., 2025,
Reduced Brain Iron and Striatal Hyperdopaminergia in Schizophrenia: A Quantitative Susceptibility Mapping MRI and PET Study
, AMERICAN JOURNAL OF PSYCHIATRY, Vol: 182, Pages: 830-839, ISSN: 0002-953X- Cite
- Citations: 3
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Journal articleToma T, Tekle K, Smith J, et al., 2025,
Enhancing the detection of paediatric ankle fractures with zero echo time imaging: A case of an occult salter-harris III ankle fracture
, EMERGENCY RADIOLOGY, ISSN: 1070-3004 -
Journal articleZhu J, Liao Y, Chen Y, et al., 2025,
Multimodal MRI-Based Glioma Segmentation and MGMT Promoter Methylation Status Prediction Using Multitask Learning Architecture
, INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, Vol: 35, ISSN: 0899-9457 -
Journal articleZahid U, Osugo M, Selvaggi P, et al., 2025,
The effects of dopamine receptor antagonist and partial agonist antipsychotics on the glutamatergic system: double-blind, randomised, placebo-controlled <SUP>1</SUP>H-MRS cross-over study in healthy volunteers
, BRITISH JOURNAL OF PSYCHIATRY, ISSN: 0007-1250 -
Journal articleSelvaggi P, Osugo M, Zahid U, et al., 2025,
Antipsychotics cause reversible structural brain changes within one week
, NEUROPSYCHOPHARMACOLOGY, Vol: 50, Pages: 1275-1283, ISSN: 0893-133X- Cite
- Citations: 1
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Journal articleWang Z, Yu X, Wang C, et al., 2025,
One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction
, MEDICAL IMAGE ANALYSIS, Vol: 103, ISSN: 1361-8415- Cite
- Citations: 1
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Contact
For enquiries about the MRI Physics Collective, please contact:
Mary Finnegan
Senior MR Physicist at the Imperial College Healthcare NHS Trust
Pete Lally
Assistant Professor in Magnetic Resonance (MR) Physics at Imperial College
Jan Sedlacik
MR Physicist at the Robert Steiner MR Unit, Hammersmith Hospital Campus