Publications
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Assessment of clinical and neuroimaging efficacy of treatment targeting tau pathology in mild cognitive impairment and mild to moderate Alzheimer’s disease with hydromethylthionine mesylate using external control data
- Digital Object Identifier
- https://doi.org/10.1016/j.tjpad.2026.100560
- Open Access
- http://aura.abdn.ac.uk/bitstreams/d20e53ba-6471-4ae9-bf44-59d0e2633939/download
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Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: The GEMINI study
- Digital Object Identifier
- https://doi.org/10.1038/s43018-026-01126-1
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From Picture Archiving and Communication System to AI production: development of a preprocessing pipeline for musculoskeletal radiological images from real-world data sources results from the AI to Revolutionize the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project
- Digital Object Identifier
- https://doi.org/10.1302/2633-1462.73.BJO-2025-0201.R1
- Additional Links
- View publication in Scopus
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PEPTIDE-BASED INHIBITORS OF PTP1B / NCK1 INTERACTION AND METHODS OF MAKING AND USING SAME
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Clinical, imaging and blood biomarker outcomes in a Phase 3 clinical trial of tau aggregation inhibitor hydromethylthionine mesylate in mild cognitive impairment and mild to moderate dementia due to Alzheimer’s disease
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Personalised Multi-Task Federated Learning for Diabetic Retinopathy Medical Image Classification
- Digital Object Identifier
- https://doi.org/10.1007/978-981-95-2680-2_20
- Open Access
- http://aura.abdn.ac.uk/bitstreams/00ea8995-60d4-4777-810d-f805dd2cb002/download
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Investigation into ligand selectivity and bias at the formyl peptide receptor family
- Digital Object Identifier
- https://doi.org/10.1016/j.jpet.2025.103764
- Open Access
- http://aura.abdn.ac.uk/bitstreams/99b140b9-fc97-45f5-928b-83c065c6adc5/download
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A2A Adenosine Receptor Agonists With Last-Step Enzymatic 18F-Labelling Potential (Fluorinase) for Positron Emission Tomography (PET)
- Digital Object Identifier
- https://doi.org/10.1002/ejoc.202501125
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Fast zero-shot deep learning-based denoising method for low-field MR images
- Digital Object Identifier
- https://doi.org/10.1007/s10334-025-01311-w
- Open Access
- http://aura.abdn.ac.uk/bitstreams/4c9541fb-5108-42f8-a502-523af1f96d7d/download
- Additional Links
- View publication in Scopus