Results 41 to 50 of about 14,024,113 (261)

Regional Brain Aging Disparity Index: Region-Specific Brain Aging State Index for Neurodegenerative Diseases and Chronic Disease Specificity

Bioengineering
This study proposes a novel brain-region-level aging assessment paradigm based on Shapley value interpretation, aiming to overcome the interpretability limitations of traditional brain age prediction models.
Yutong Wu, Shen Sun, Chen Zhang, Xiangge Ma, Xinyu Zhu, Yanxue Li, Lan Lin, Zhenrong Fu   +7 more
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin, Berrak Itır Aylı, Nüket Paksoy   +2 more
wiley   +1 more source

A Spatiotemporal Pathformer‐Based Deep Learning Framework for Watershed Flood Forecasting

Water Resources Research
Effective flood forecasting is essential for implementing proactive flood management and risk reduction strategies. However, conventional artificial neural networks often fail to capture the complex spatiotemporal dependencies among hydrometeorological ...
Tianyu Xia, Yanlai Zhou, Chong‐Yu Xu, Pan Liu, Yuxuan Luo, Fi‐John Chang   +5 more
doaj   +1 more source

Self-Explaining Neural Networks for Food Recognition and Dietary Analysis

BioMedInformatics
Food pattern recognition plays a crucial role in modern healthcare by enabling automated dietary monitoring and personalised nutritional interventions, particularly for vulnerable populations with complex dietary needs.
Zvinodashe Revesai, Okuthe P. Kogeda
doaj   +1 more source

Investigating the Reliability and Interpretability of Machine Learning Frameworks for Chemical Retrosynthesis [PDF]

Machine learning models for chemical retrosynthesis have attracted substantial interest in recent years. Unaddressed challenges, particularly the absence of robust evaluation metrics for performance comparison, and the lack of black-box interpretability,
Dongda, Zhang, Sophia N., Yaliraki, Friedrich, Hastedt, Ehecatl Antonio, del Rio Chanona, Rowan M., Bailey, Klaus, Hellgardt   +5 more
core   +1 more source

Association Between Individualized Education for Kidney Replacement Therapy Modality Selection and Peritoneal Dialysis Initiation: A Cross‐Sectional Study

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito, Ryuichi Yoshimura, Takaki Yamauchi, Yuta Funakoshi, Hirotaka Sonoda, Seiji Kobayashi, Hiroyuki Terawaki, Takafumi Ito   +7 more
wiley   +1 more source

Explainable Deep Kernel Learning for Interpretable Automatic Modulation Classification

Computers
Modern wireless communication systems increasingly rely on Automatic Modulation Classification (AMC) to enhance reliability and adaptability, especially in the presence of severe signal degradation.
Carlos Enrique Mosquera-Trujillo, Juan Camilo Lugo-Rojas, Diego Fabian Collazos-Huertas, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez   +4 more
doaj   +1 more source

Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model

Nowadays, residential households, including both consumers and emerging prosumers, have exhibited a growing demand for active/reactive power. This demand surge arises from activities such as charging electrical devices, leveraging flexible resources, and
Sanjari, MJ, Mubarak, H, Stegen, S, Abdellatif, A, Bai, F   +4 more
core   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Development of a deep learning model for automated diagnosis of neuromuscular diseases using ultrasound imaging

Frontiers in Neurology
BackgroundNeuromuscular diseases (NMDs) pose significant diagnostic challenges due to their heterogeneous clinical manifestations and the limitations of traditional diagnostic tools.
Jingyi Xie, Zhenying Zhang
doaj   +1 more source