AIMC Topic: Humans

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End-to-end EEG artifact removal method via nested generative adversarial network.

Biomedical physics & engineering express
As physiological artifacts commonly overlap with EEG signals in both time and frequency domains, developing an effective end-to-end EEG artifact removal method is essential for a brain-computer interface (BCI) system. An end-to-end artifact removal m...

Dose stratification-based convolutional neural networks for dose distribution prediction in radiotherapy.

Biomedical physics & engineering express
The fidelity of dose distribution prediction is paramount for radiotherapy planning. While existing deep learning-based methods have obtained noteworthy performance, most of them pursue the accurate prediction of global dose distribution but neglect ...

The strength of Nesterov's accelerated gradient in boosting transferability of stealthy adversarial attacks.

PloS one
Deep neural networks have been shown to be highly vulnerable to adversarial examples-inputs crafted to mislead models by adding subtle, human-imperceptible perturbations. Transferability and stealthiness are two crucial metrics for evaluating adversa...

SVNC-Net: An optimized U-Net variant with 2D convolutions for lightweight 3D spleen segmentation.

PloS one
Accurate measurement of spleen volume is essential for the diagnosis of splenomegaly. While Computed Tomography (CT) is among the most reliable imaging modalities for this task, manual segmentation of the spleen is labor-intensive and impractical for...

Predicting IVF outcomes using a logistic regression-ABC hybrid model: A proof-of-concept study on supplement associations.

PloS one
Machine learning models are increasingly applied to assisted reproductive technologies (ART), yet most studies rely on conventional algorithms with limited optimization. This proof-of-concept study investigates whether a hybrid Logistic Regression-Ar...

The impact of negative emotions on adolescents' nonsuicidal self-injury thoughts: an integrated application of machine learning and multilevel logistic models.

PloS one
Non-Suicidal Self-Injury (NSSI) is a prevalent and complex behavior among adolescents, often linked to negative emotions such as loneliness, anxiety, and emptiness. Traditional self-report and experimental methods rely on autobiographical recall and ...

The Redox Properties of Polyphenols and Their Role in ROS Generation for Biomedical Applications.

Angewandte Chemie (International ed. in English)
Polyphenols, particularly catechols, represent a significant class of compounds characterized by their versatile physicochemical and biological properties, sourced from both natural origins and industrial by-products. This review highlights their cri...

Association Between Choroid Plexus Morphological Alterations, Alzheimer Pathologies, and Cognitive Impairment: A Longitudinal Study.

Neurology
BACKGROUND AND OBJECTIVES: The choroid plexus (ChP) plays a crucial role in maintaining brain health. Alzheimer disease (AD) pathologies may damage the ChP and accelerate neurodegeneration. Previous imaging studies have found overall increased ChP vo...

Phylo-Spec: a phylogeny-fusion deep learning model advances microbiome status identification.

mSystems
The human microbiome is crucial for health regulation and disease progression, presenting a valuable opportunity for health state classification. Traditional microbiome-based classification relies on pre-trained machine learning (ML) or deep learning...

Dimeric gold nanoparticles enable multiplexed labeling in cryoelectron tomography.

Proceedings of the National Academy of Sciences of the United States of America
Cryoelectron tomography (cryo-ET) enables three-dimensional visualization of molecular structures within tissue and intact cells, providing a powerful tool for studying the spatial organization of biological components at nanometer resolution. Realiz...