Digital Twin Neural Marker Discovery for Delineating Mixed Dementia with Cross‐site Federated Learning

The results highlight the potential of a digital twin neural marker to address the complexities of delineating mixed dementia etiologies. Most importantly, this work represents an international collaboration (Korea-UK) to develop a digital twin neural marker using large datasets while upholding data democracy principles.

Authors

Institutions

Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_102548
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Twin Neural Marker Discovery for Delineating Mixed Dementia with Cross‐site Federated Learning

M Kwon, Jinhak Kim, Keun You Kim, Gyutaek Oh et al.
Alzheimer s & Dementia
Machine Learning in Healthcare
article

Digital Twin Neural Marker Discovery for Delineating Mixed Dementia with Cross‐site Federated Learning

M Kwon, Jinhak Kim, Keun You Kim, Gyutaek Oh, Eosu Kim, Chang‐Bae Bang, Byung‐Hoon Kim
article en

Abstract

The results highlight the potential of a digital twin neural marker to address the complexities of delineating mixed dementia etiologies. Most importantly, this work represents an international collaboration (Korea-UK) to develop a digital twin neural marker using large datasets while upholding data democracy principles.

Alzheimer s & DementiaVol. 21(S2)
Yonsei University (KR)
Openalex Percentile: Top 18%
Machine Learning in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.