Results 91 to 100 of about 43,561 (219)

Data‐driven neuropsychological phenotypes in the Baltimore Longitudinal Study of Aging

Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
INTRODUCTION This study aimed to identify phenotypes of subtle variation in multidomain cognitive performance and examine their longitudinal associations with Alzheimer's disease and related dementias (AD/ADRD) biomarkers and cognitive outcomes.
Caitlin M. Terao, Fareshte Erani, Alexandra J. Weigand, Alden L. Gross, Emily C. Edmonds, Katherine J. Bangen, Yang An, Keenan A. Walker, Susan M. Resnick, Kelsey R. Thomas   +9 more
doaj   +1 more source

Character-level linguistic biomarkers for precision assessment of cognitive decline: a symbolic recurrence approach

Frontiers in Aging Neuroscience
Early-stage Alzheimer's disease (AD) remains difficult to assess using conventional linguistic or cognitive assessments, which often overlook subtle and individualized disruptions in speech.
Kevin Mekulu, Faisal Aqlan, Hui Yang
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Cognitive decline is associated with risk aversion and temporal discounting in older adults without dementia.

PLoS ONE, 2015
Risk aversion and temporal discounting are preferences that are strongly linked to sub-optimal financial and health decision making ability. Prior studies have shown they differ by age and cognitive ability, but it remains unclear whether differences are
Bryan D James, Patricia A Boyle, Lei Yu, S Duke Han, David A Bennett   +4 more
doaj   +1 more source

Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang   +6 more
wiley   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Electrostatic Actuation Induces Competing Adhesion and Vibration Regimes at Fingertip Contact

Advanced Intelligent Systems, EarlyView.
Electric fields modulate fingertip–surface contact to create artificial touch sensations. The mechanisms underlying electrostatic friction, however, remain unclear. Direct imaging and friction measurements under oscillating electric fields showed that adhesion dominates at high frequencies, while vibration contributes substantially at the lower ...
Celal Umut Kenanoglu, Michaël Wiertlewski, Yasemin Vardar   +2 more
wiley   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

Advanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti, Weng Buxiu, Petr Trunin, Muhammad Sunny Nazeer, Lucia Beccai, Perla Maiolino, Cecilia Laschi   +6 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Neuropsychological Subgroups in Non-Demented Parkinson’s Disease: A Latent Class Analysis

Journal of Parkinson’s Disease, 2017
Background: Methods to detect early cognitive decline and account for heterogeneity of deficits in Parkinson’s disease (PD) are needed. Quantitative methods such as latent class analysis (LCA) offer an objective approach to delineate discrete phenotypes ...
Laura Brennan, Kathryn M. Devlin, Sharon X. Xie, Dawn Mechanic-Hamilton, Baochan Tran, Howard H. Hurtig, Alice Chen-Plotkin, Lama M. Chahine, James F. Morley, John E. Duda, David R. Roalf, Nabila Dahodwala, Jacqueline Rick, John Q. Trojanowski, Paul J. Moberg, Daniel Weintraub   +15 more
doaj   +1 more source