ADHD/ADD

Development and validation of a prognostic model and risk calculator for the estimation of bipolar-spectrum disorder risk in hospitalised adolescents with non-psychotic/non-bipolar mental disorders.

We aimed to develop and validate a risk estimation model for developing bipolar-spectrum disorders (BSD) in psychiatrically hospitalized adolescents based on clinical characteristics, including putatively prodromal symptoms. Adolescent inpatients (ages = 12-18 years) with non-psychotic/non-BSD diagnoses were recruited for the Adolescent Mood Disorder and Psychosis Study (AMDPS), a longitudinal, pr...

MAN-GNN: An interpretable biomarker architecture for neurodevelopmental disorders.

Neurodevelopmental disorders exhibit highly similar behavioral characteristics in clinical assessments, heavily relying on subjective behavioral reports, leading to insufficient understanding of the neurobiological mechanisms behind inter-patient heterogeneity and symptom overlap between diseases. To address this issue, this study proposes a graph neural network framework that integrates neuroimag...

Impulsivity and neuroticism share distinct functional connectivity signatures with alcohol-use risk in youth.

Increases in impulsivity and negative affect (e.g., neuroticism) are common during adolescence and are both associated with risk for alcohol-use initi...

Accurate and real-time brain tumour detection and classification using optimized YOLOv5 architecture.

The brain tumours originate in the brain or its surrounding structures, such as the pituitary and pineal glands, and can be benign or malignant. While...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesized, but the causal link and shared mechanisms rem...

Improving Machine Learning Prediction of ADHD Using Gene Set Polygenic Risk Scores and Risk Scores From Genetically Correlated Phenotypes.

Polygenic risk scores (PRSs), which sum the effects of SNPs throughout the genome to measure risk afforded by common genetic variants, have improved o...

Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders.

Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. We address this problem by pursuing the hypothesis...

Speech production as an artificial intelligence-based 'process' measure of cognition sensitive to mild cognitive impairment and Alzheimer's disease.

Process scores in neuropsychological tests add incremental validity for detecting non-normative cognitive aging trajectories. However, process scores...

Multi-scale fusion semantic enhancement network for medical image segmentation.

The application of sophisticated computer vision techniques for medical image segmentation (MIS) plays a vital role in clinical diagnosis and treatmen...

A novel mobiles android application for facilitating wheelchair users access to public buildings in urban environments.

In recent years, societies and governments worldwide have increasingly focused on addressing the rights and needs of individuals with various disabili...

Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.

Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a cause of chronic gastritis, peptic ulcers and gas...

Enrichment of extracellular vesicles using Mag-Net for the analysis of the plasma proteome.

Extracellular vesicles (EVs) in plasma are composed of exosomes, microvesicles, and apoptotic bodies. We report a plasma EV enrichment strategy using ...

Short Research Article: Evaluation of an artificial intelligence language model in psychiatric patient education.

BACKGROUND: The incorporation of artificial intelligence (AI) and machine learning (ML) into medicine has enhanced clinical information processing. Ch...

BrainCHEF: Cross-Level Hypergraph Enhanced Fusion model for brain networks.

Modeling the dynamic characteristics of functional brain networks is of great significance for uncovering the mechanisms of brain function. Although g...

Invited Response to "Artificial Intelligence in Rhinoplasty: Precision or Over-Reliance?".

The integration of artificial intelligence (AI) into surgical practice demands critical reflection-not only on its capabilities, but also on its appro...

Coordinated Residue Motions at the Enzyme-Substrate Interface Promote DNA Translocation in Polymerases.

The translocation of DNA in polymerase (Pol) enzymes is a critical step for Pol-mediated nucleic acid polymerization, essential for storing and transm...

Impact of brain regions on attention deficit hyperactivity disorder (ADHD) electroencephalogram (EEG) signals: Comparison of machine learning algorithms with empirical mode decomposition and time domain analysis.

OBJECTIVE: This study emphasizes the importance of using proper combinations of brain area, extraction of features, and machine learning (ML) techniqu...

Patterns in Mental Health Symptoms, Substance Use, and Viral Suppression in People with HIV: A Clustering Analysis.

Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated with one another, and associate with viral non-su...

Attention-driven deep learning framework for EEG analysis in ADHD detection.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects cognitive functions such as attention, impulse control, ...

Hypertension precision medicine: the promise and pitfalls of pharmacogenomics.

Pharmacogenomics (PGx) has the potential to revolutionize hypertension management by tailoring antihypertensive therapy based on genetic profiles. Des...