FDA General

Postmarketing Safety of Transcranial Magnetic Stimulation: A 10-Year MAUDE Database Analysis of Adverse Events and Technological Advancements.

Background: Transcranial magnetic stimulation (TMS) is an FDA-cleared neuromodulation technique with expanding clinical applications beyond major depressive disorder. Despite increasing utilization, there has been no published, device-agnostic analysis of TMS-related adverse events (AEs) using the FDA's Manufacturer and User Facility Device Experience (MAUDE) database. Objective: To characterize t...

Sleep Disorders and Male Infertility: Integrated Mechanisms and Precision Therapeutic Strategies.

BACKGROUND: Male factor infertility accounts for nearly half of infertility cases worldwide, yet modifiable lifestyle-related risk factors remain insufficiently integrated into andrological research and clinical practice. Sleep disorders have emerged as an increasingly important but underrecognized determinant of male reproductive health, with growing evidence linking disturbed sleep to impaired s...

Establishment of insulin resistance-related ten-gene signature in endometrial cancer and identification of ACTL8 as a prognostic and immunological biomarker.

BACKGROUND: Endometrial cancer (EC) is a common gynecological tumor. Insulin resistance (IR) increases the risk of EC. However, the common molecular b...

Machine Learning-Guided Engineering of Protein Phase Separation Properties in Immune Regulation.

Phase separation (PS) underpins compartmentalization in living cells, facilitating the formation of membraneless organelles and the regulation of cell...

Advancing prussian blue nanoparticle-mediated photothermal therapy through machine learning and multiomics integration.

Prussian blue nanoparticles (PBNPs) are a versatile platform for administering photothermal therapy (PTT) in cancer therapy applications. PBNPs combin...

A physics-informed graph neural network to approximate docking-based binding affinity for DYRK2 in Alzheimer's drug repurposing.

Alzheimer's disease (AD) requires the discovery of new therapeutic targets, but traditional molecular docking methods for virtual screening are often ...

Molecular docking approaches in mycetoma: Toward improved patient management.

Mycetoma is a neglected tropical disease characterised by chronic, granulomatous inflammation of the subcutaneous tissues, often leading to disfigurem...

Exploring the toxicological mechanisms of Benzo[a]anthracene (BaA) exposure in lung adenocarcinoma (LUAD) via network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

BACKGROUND: Lung adenocarcinoma (LUAD) is a major lung cancer subtype influenced by environmental factors. Benzo[a]anthracene (BaA), a common Group 2B...

MnZn bimetallic cold-adapted nanozymes prepared by DBD plasma for in situ monitoring of volatile sulfur compounds and meat freshness inspection.

In this work, low-temperature plasma (LTP) technology was employed to fabricate a novel, cold-adaptive bimetallic MnZn-MOF nanozyme with triple enzyme...

Identification of mitochondrial dysfunction-related biomarkers and immune infiltration in liver ischemia-reperfusion injury via integrated bioinformatics and machine learning.

BACKGROUND: Mitochondrial dysfunction contributes to the pathogenesis of multiple diseases. This study explores the involvement of mitochondrial dysfu...

HLA-DPA1 as a diagnostic biomarker differentiating early- and late-onset preeclampsia.

The occurrence and development of a wide range of preeclampsia (PE), especially early-onset preeclampsia (EOPE), is closely associated with the immune...

A novel integrative machine learning-based prognostic model reveals lactylation regulation in hepatocellular carcinoma progression.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant liver tumor with poor clinical outcomes. Accumulated evidence has demon...

Commentary: Verify before trust: real-world application of an FDA-approved adult-trained artificial intelligence model for intracranial hemorrhage detection in children.

Machine-Learning-Guided Design of Incommensurate Antiferroelectrics via Field-Driven Phase Engineering.

Antiferroelectrics, defined by antiparallel polarization configurations, have emerged as promising dielectric materials for high-performance energy st...

AI in Healthcare: How Relevant to Medical Risk Selection?

The role of artificial intelligence (AI) in biologic discovery, and in the practice of medicine is rapidly increasing. AI-assisted analyses of large d...

Machine learning-driven computational drug repurposing to identify new tubulin inhibitors against cancer.

Tubulin is a validated anticancer target, yet the clinical translation of colchicine-binding site inhibitors remains limited by toxicity and resistanc...

[Design and synthesis of molecularly imprinted polymers and their applications in medical diagnosis and biocatalysis].

Molecularly imprinted technology （MIT） represents an advanced synthetic strategy that emulates biological recognition mechanisms， such as antigen-anti...

Update on Non-Biological and RNA-Based Therapeutics in Chronic Inflammatory Diseases: Precision Medicine Through Small Molecules.

In the last decades, critical advancements in research technology and knowledge on disease mechanisms steered therapeutic approaches for chronic infla...

Changes in Phasic Heart Rate Variability Predict Clinical Outcomes Following Emotion Regulation Therapy for Generalized Anxiety Disorder and Comorbid Depression.

Generalized anxiety disorder (GAD) and major depressive disorder (MDD) frequently co-occur and are marked by greater chronicity, severity, and poorer ...

Multimodal perishable fruits and vegetables dataset.

There is a growing need in the agricultural industry for non-invasive methods to classify the freshness and quality of produce. To address this, we de...