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Exploring human GABA transporter 3 binders for epilepsy through quantum reactivity analysis, molecular dynamics, machine learning prediction, and network pharmacology.

CONTEXT: Drug-resistant epilepsy (DRE) remains a major therapeutic challenge, affecting millions of patients globally who do not respond to conventional antiepileptic medications. Recent evidence highlights GABA transporter 3 (GAT3), a glial subtype responsible for regulating extracellular GABA levels, as a promising molecular target for seizure control. Despite its therapeutic potential, selectiv...

Public Expectations for Food and Drug Administration Approval of AI-Based Clinical Decision Support Tools: Quantitative Study.

BACKGROUND: Regulation of artificial intelligence (AI) has been slow relative to the pace of its integration into health care. Several AI diagnostic tools for diabetic retinopathy (DR) have already received Food and Drug Administration (FDA) clearance, making it a timely and concrete example for exploring public perspectives on regulatory approval. The scope of FDA regulation of AI tools is being ...

Foundation for Artificial Intelligence-Driven Democratization of Healthcare Access.

INTRODUCTION: Healthcare systems worldwide face unprecedented challenges, including escalating costs, workforce shortages, and access disparities, whi...

Screening of new detection targets and virulence factors in Cronobacter using pan-genome and machine learning.

Cronobacter species are emerging foodborne pathogens, and species identification is essential because the virulence of different species is diverse, w...

Identification of ribosomal stress related signature genes and immune microenvironment analysis in ovarian cancer based on multi-machine learning.

BACKGROUND: Ovarian cancer (OC) is a highly aggressive malignancy with poor prognosis and limited response to immunotherapy. Ribosomal stress, a cellu...

AI-based visual analysis of photovoltaic panels for fault detection and maintenance support.

As the global transition toward renewable energy accelerates, ensuring the operational reliability of photovoltaic (PV) systems has become increasingl...

A deep learning model for automated identification of age-related macular degeneration atrophy.

Age-related macular degeneration (AMD), a leading cause of visual impairment and blindness among the elderly, is projected to affect 288 million indiv...

Interpretable causal machine learning elucidates performance regulation via atomic Fe‑S synergistic pathways in Sulfidated zero‑valent Iron.

Sulfidated zero-valent iron (S-ZVI) is a promising material for the reductive remediation of persistent contaminants, yet its performance is constrain...

Food-derived bioactive peptides in gut-muscle Axis regulation: Potential and challenges from microbiota homeostasis to muscle metabolism remodeling.

The global population is aging at an accelerating pace, and sarcopenia has emerged as a central challenge to elderly health. Food-derived bioactive pe...

Molecular basis of precision nutrition: Food components, microbiome-derived metabolites, and multi-omics modeling.

Metabolic disorders, including obesity, type 2 diabetes, metabolic syndrome, and fatty liver disease, reflect multifactorial interactions among diet, ...

Global approval and certification of ophthalmic AI devices: A comparative regulatory perspective.

Artificial intelligence (AI) tools are rapidly reshaping ophthalmology by improving screening and diagnosis for diabetic retinopathy, age-related macu...

Artificial intelligence in the assessment of epilepsy-related genetic mutations: Learned from GABAA receptors and GABA transporter 1.

This review examines how recent genetic and technological advances have transformed our understanding and treatment of genetic epilepsies (GEs), with ...

Integrative analysis of tumor-educated platelets for stage-specific diagnosis, prognosis, and therapy in ovarian cancer.

BACKGROUND: Ovarian cancer (OC) remains one of the most lethal gynecological cancers worldwide. Despite advances in diagnosis, OC is mostly detected a...

Automated low-cost framework for crack measurements in RC structures using deep learning approach.

This research presents a comprehensive and automated framework for detecting surface cracks and measuring their widths in reinforced concrete (RC) mem...

The geographic digital divide among dementia caregivers in the U.S.: a cross-sectional study.

BACKGROUND: Digital health tools, particularly patient portals, can support caregiving, but there is limited understanding of how sociodemographic and...

Emerging Therapeutic Paradigms in Tuberculosis: Nanocarriers, Host-Directed Strategies, and Translational Pharmacology.

TB remains a significant global health burden due to protracted therapeutic courses, poor patient compliance, and toxicities associated with drug trea...

Digital emergency routing: analysis of feasibility, utilization, and equity implications.

BACKGROUND: Digital emergency care applications offer potential to reduce delays, enhance triage, and improve care coordination, yet evidence remains ...

Photocatalytic Flow Synthesis of Acetone from Methane Carbonylation Using Customized Flow Patterns.

Although the direct synthesis of acetone via photocatalytic methane carbonylation is a sustainable process, achieving high yields and selectivity rema...

From Mood Episodes to Digital Signatures: Passive and Active Phenotyping of Bipolar Disorder Over Time.

BACKGROUND: Digital phenotyping has emerged as a promising approach to capture real-time behavioral and physiological data in individuals with bipolar...

Permeable Proton Transport and Hydrogenation Attained by ONCS-Induced Graphene Nanosheet Film for Neuromorphic Memory Devices.

Traditional von Neumann architecture-based devices are limited by the memory wall, hindering the development of next-generation artificial intelligenc...