Zeynep Sahin

ORCID: 0000-0003-1379-7621
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About
Contact & Profiles
Research Areas
  • Advanced Neuroimaging Techniques and Applications
  • Dementia and Cognitive Impairment Research
  • Functional Brain Connectivity Studies
  • Retinal Imaging and Analysis
  • Machine Learning in Healthcare

King's College London
2024

University of Cambridge
2020

Purpose: Rapid developments are occurring in artificial intelligence (AI) and machine learning (ML) applied to neuroimaging. To date, advances this space have largely been limited research cohorts with little real-world translation that is clinically meaningful for patients psychiatry neurology those associated neuropsychiatric symptoms. There a lack of large multimodal linked datasets combining MRI imaging, clinical variables other biomarkers within more representative ethnically diverse...

10.1101/2025.01.07.25319950 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2025-01-07

ABSTRACT Introduction Retinal neurodegeneration has recently been shown to occur in tandem with neurodegenerative disease. In the expectation that disease modifying treatments for Alzheimer’s Disease and Parkinson’s will soon become available, it be important have clinically useful biomarkers subtyping guide early diagnosis, inform on prognosis stratify subgroups treatment. Understanding differences detectable retina changes individuals different subtypes is therefore fundamental. The...

10.1101/2024.05.27.24306765 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2024-05-27

Abstract Background First‐degree relatives of people with dementia (FH+) are at increased risk developing Alzheimer’s disease (AD). Identifying preclinical brain changes would facilitate both early quantifiable longitudinal monitoring and interventional trials. However, the literature imaging in FH+ remains highly controversial. We aim to investigate “estimated years onset dementia” (EYOD) as a surrogate marker progression assessed whether approaching express more severe patterns changes....

10.1002/alz.042942 article EN Alzheimer s & Dementia 2020-12-01

Abstract Background First‐degree relatives of people with dementia (FH+) are at increased risk developing Alzheimer’s disease (AD). Identifying preclinical brain changes would facilitate both early quantifiable longitudinal monitoring and interventional trials. However, the literature imaging in FH+ remains highly controversial. We aim to investigate “estimated years onset dementia” (EYOD) as a surrogate marker progression assessed whether approaching parental age express more severe...

10.1002/alz.041865 article EN Alzheimer s & Dementia 2020-12-01
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