Cover Image

CognitiveTwin: Robust Multi-Modal Digital Twins for Predicting Cognitive Decline in Alzheimer's Disease

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Soykan, Bulent, Koksalmis, Gulsah Hancerliogullari, Huang, Hsin-Hsiung, Brattain, Laura J.
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Toward Personalized Digital Twins for Cognitive Decline Assessment: A Multimodal, Uncertainty-Aware Framework
by: Soykan, Bulent, et al.
Published: (2026)

Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings
by: Ye, Brad, et al.
Published: (2026)

Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions
by: Koksalmis, Gulsah Hancerliogullari, et al.
Published: (2025)

Toward Actionable Digital Twins for Radiation-Based Imaging and Therapy: Mathematical Formulation, Modular Workflow, and an OpenKBP-Based Dose-Surrogate Prototype
by: Huang, Hsin-Hsiung, et al.
Published: (2026)

Integrating Metaverse Technologies in Medical Education: Examining Acceptance Factors Among Current and Future Healthcare Providers
by: Damar, Seckin, et al.
Published: (2025)

GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses
by: Kebria, Parham, et al.
Published: (2026)

HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers
by: Soykan, Bulent
Published: (2026)

Graph-Enhanced Deep Reinforcement Learning for Multi-Objective Unrelated Parallel Machine Scheduling
by: Soykan, Bulent, et al.
Published: (2026)

TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems
by: Soykan, Bulent, et al.
Published: (2025)

A Scalable AI Driven, IoT Integrated Cognitive Digital Twin for Multi-Modal Neuro-Oncological Prognostics and Tumor Kinetics Prediction using Enhanced Vision Transformer and XAI
by: Banerjee, Saptarshi, et al.
Published: (2025)

EDU-MATRIX: A Society-Centric Generative Cognitive Digital Twin Architecture for Secondary Education
by: Zhai, Wenjing, et al.
Published: (2026)

Building a Cognitive Twin Using a Distributed Cognitive System and an Evolution Strategy
by: Gibaut, Wandemberg, et al.
Published: (2025)

MRI Embeddings Complement Clinical Predictors for Cognitive Decline Modeling in Alzheimer's Disease Cohorts
by: Putera, Nathaniel, et al.
Published: (2025)

Foundations for Digital Twins
by: Wilson, Finn, et al.
Published: (2024)

Traffic and weather driven hybrid digital twin for bridge monitoring
by: Balijepalli, Phani Raja Bharath, et al.
Published: (2026)

TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning
by: Zhang, Nan, et al.
Published: (2026)

Digital Twin-Assisted Explainable AI for Robust Beam Prediction in mmWave MIMO Systems
by: Khan, Nasir, et al.
Published: (2025)

Multimodal Neuroimaging Attention-Based architecture for Cognitive Decline Prediction
by: Vo, Jamie, et al.
Published: (2023)

Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
by: Liao, Xishun, et al.
Published: (2022)

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
by: Mu, Yao, et al.
Published: (2025)

Artificial Intelligence for Modeling & Simulation in Digital Twins
by: Zech, Philipp, et al.
Published: (2026)

Digital Twin in Industries: A Comprehensive Survey
by: Zami, Md Bokhtiar Al, et al.
Published: (2024)

Internet of Federated Digital Twins (IoFDT): Connecting Twins Beyond Borders for Society 5.0
by: Yu, Tao, et al.
Published: (2023)

DT-ICU: Towards Explainable Digital Twins for ICU Patient Monitoring via Multi-Modal and Multi-Task Iterative Inference
by: Guo, Wen
Published: (2026)

AI Expert Twin: Capturing Expert Cognition for Human-Centred, Practice-Based Learning
by: Yuan, Annie, et al.
Published: (2026)

Marrying Generative Model of Healthcare Events with Digital Twin of Social Determinants of Health for Disease Reasoning
by: Wei, Ziquan, et al.
Published: (2026)

Conformal Prediction-Driven Adaptive Sampling for Digital Water Twins
by: Homaei, Mohammadhossein, et al.
Published: (2025)

Personalized Heart Disease Detection via ECG Digital Twin Generation
by: Hu, Yaojun, et al.
Published: (2024)

Electronic Health Records: Towards Digital Twins in Healthcare
by: Alkan, Muhammet, et al.
Published: (2025)

Deep Insights into Cognitive Decline: A Survey of Leveraging Non-Intrusive Modalities with Deep Learning Techniques
by: Ortiz-Perez, David, et al.
Published: (2024)

Towards Digital Twins for Optimal Radioembolization
by: Panneerselvam, Nisanth Kumar, et al.
Published: (2025)

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)
by: Mu, Yao, et al.
Published: (2024)

Empowering Cognitive Digital Twins with Generative Foundation Models: Developing a Low-Carbon Integrated Freight Transportation System
by: Li, Xueping, et al.
Published: (2024)

A Hybrid Tabu Scatter Search Algorithm for Simulation-Based Optimization of Multi-Objective Runway Operations Scheduling
by: Soykan, Bulent
Published: (2025)

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
by: Huang, Xiyan, et al.
Published: (2025)

State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance
by: Ma, Sizhe, et al.
Published: (2024)

Digital Twin Ecosystem for Oncology Clinical Operations
by: Pandey, Himanshu, et al.
Published: (2024)

Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin
by: Abou-Chakra, Jad, et al.
Published: (2025)

DinoTwins: Combining DINO and Barlow Twins for Robust, Label-Efficient Vision Transformers
by: Podsiadly, Michael, et al.
Published: (2025)

Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset
by: Dong, Zhao, et al.
Published: (2025)