ADHD/ADD

Applications of visualization technology in the structural sciences.

The structural sciences are undergoing a transformation driven by advancements in visualization technologies that aid researchers in understanding and communicating experimental data from complex molecular systems. New applications of integrative structural biological and biophysical approaches add a wide variety of complementary information from a broad range of scientific disciplines. These appr...

Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach.

BACKGROUND: The diagnosis of attention deficit hyperactivity disorder (ADHD) relies on comprehensive approaches, including clinical interviews, scales, and neuropsychological assessments. However, the process is often limited by issues of reliability and availability.

EEG Connectivity as Predictor of ICAN ADHD Children's Improvement After Completion of Theta Beta Ratio Neurofeedback: Machine Learning Analyses.

Attention deficit hyperactivity disorder is a prevalent syndrome that costs billions of dollars annually. Finding meaningful interventions based upon ...

Constructing segmentation method for wheat powdery mildew using deep learning.

Powdery mildew is an important factor affecting wheat yield and global food security as well as a leading factor restricting the sustainable developme...

Exploring voice as a digital phenotype in adults with ADHD.

Current diagnostic procedures for attention deficit hyperactivity disorder (ADHD) are mainly subjective and prone to bias. While research on potential...

Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways.

Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, drug resistance remains a significant hindrance. Dr...

Unlocking the potential of wearable technology: Fitbit-derived measures for predicting ADHD in adolescents.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder with a complex etiology. The current diagnostic pr...

Genetic Risk Scores in Stroke Research and Care.

Stroke remains a leading cause of death and disability worldwide. While well-established risk factors play a major role, genetic predisposition is a c...

IEWNet: Multi-Scale Robust Watermarking Network Against Infrared Image Enhancement Attacks.

Infrared (IR) images record the temperature radiation distribution of the object being captured. The hue and color difference in the image reflect the...

Machine Learning Based Early Diagnosis of ADHD with SHAP Value Interpretation: A Retrospective Observational Study.

BACKGROUND: Attention-Deficit/Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by inattention, hyperac...

Converging Representations of Attention-Deficit/Hyperactivity Disorder and Autism on Social Media: Linguistic and Topic Analysis of Trends in Reddit Data.

BACKGROUND: Social media platforms have witnessed a substantial increase in mental health-related discussions, with particular attention focused on at...

In pursuit of software solutions for pharmaceutical regulatory affairs: Insights and trends.

With rapid upsurge in technology and digital tools, the existing systems including the healthcare systems, especially the pharmaceutical sector is exp...

Automated Depression Detection from Text and Audio: A Systematic Review.

Depression is a prevalent mental health disorder that presents significant challenges for timely diagnosis and intervention. Automated Depression Dete...

Learning temporal granularity with quadruplet networks for temporal knowledge graph completion.

Temporal Knowledge Graphs (TKGs) capture the dynamic nature of real-world facts by incorporating temporal dimensions that reflect their evolving state...

Detection of Cortical Arousals in Sleep Using Multimodal Wearable Sensors and Machine Learning.

Cortical arousals are brief brain activations that disrupt sleep continuity and contribute to cardiovascular, cognitive, and behavioral impairments. A...

MC-ASFF-ShipYOLO: Improved Algorithm for Small-Target and Multi-Scale Ship Detection for Synthetic Aperture Radar (SAR) Images.

Synthetic aperture radar (SAR) ship detection holds significant application value in maritime monitoring, marine traffic management, and safety mainte...

The evolution and future of integrated evidence planning.

INTRODUCTION: Integrated Evidence Planning (IEP) is a strategic approach that optimizes drug development and market access by ensuring evidence genera...

Machine learning approach to single cell transcriptomic analysis of Sjogren's disease reveals altered activation states of B and T lymphocytes.

Sjogren's Disease (SjD) is an autoimmune disorder characterized by salivary and lacrimal gland dysfunction and immune cell infiltration leading to gla...

Insulin resistance in type 1 diabetes is a key modulator of platelet hyperreactivity.

AIMS/HYPOTHESIS: Individuals with type 1 diabetes are at increased cardiovascular risk, particularly in the presence of insulin resistance. A prothrom...

Topology-Guided Graph Masked Autoencoder Learning for Population-Based Neurodevelopmental Disorder Diagnosis.

Exploring the pathogenic mechanisms of brain disorders within population is an important research in the field of neuroscience. Existing methods eithe...