FDA General

Artificial Intelligence in Dermatology: A Comprehensive Review of Approved Applications, Clinical Implementation, and Future Directions.

This comprehensive review examines artificial intelligence (AI) applications in dermatology, approve...

State of the Art on Inherited Retinal Dystrophies: Management and Molecular Genetics.

Inherited retinal dystrophies (IRDs) represent a group of heterogeneous disorders caused by gene mut...

Brain metabolic imaging-based model identifies cognitive stability in prodromal Alzheimer's disease.

The recent approval of anti-amyloid pharmaceuticals for the treatment of Alzheimer's disease (AD) ha...

Absolute Quantitation of Neopterin as an Endogenous Pharmacodynamic Biomarker: The Successful Method Development, Validation, and Use of a Surrogate Matrix for Clinical Sample Analysis.

Biomarkers are playing an increasing role in the drug discovery and drug development process. Molecu...

A structured-illumination reflectance imaging dataset for woody breast assessment of broiler meat.

Wood breast (WB) myopathy is an economically important muscular defect that downgrades poultry meat ...

Labels as a feature: Network homophily for systematically annotating human GPCR drug-target interactions.

Machine learning has revolutionized drug discovery by enabling the exploration of vast, uncharted ch...

M3S-GRPred: a novel ensemble learning approach for the interpretable prediction of glucocorticoid receptor antagonists using a multi-step stacking strategy.

Accelerating drug discovery for glucocorticoid receptor (GR)-related disorders, including innovative...

TransCNN: A novel architecture combining transformer and TextCNN for detecting N4-acetylcytidine sites in human mRNA.

N4-acetylcytidine (ac4C), a pivotal post-transcriptional RNA modification, is central to understandi...

Monitoring Amphetamine and Methamphetamine Mixtures Based on Deep Learning Involves Colorimetric Sensing.

Precise recognition and discrimination of highly similar analytes (either in structure or property) ...

Associations among white matter microstructural changes and the development of emotional reactivity and regulation in infancy.

Deficits in emotional reactivity and regulation assessed in infancy, including high levels of negati...

FDA-approved artificial intelligence products in abdominal imaging: A comprehensive review.

PURPOSE: This review aims to provide a comprehensive overview of the transformative impact of FDA-ap...

In-silico investigation integrated with machine learning to identify potential inhibitors targeting AKT2: Key driver of cancer cell progression and metastasis.

BACKGROUND AND OBJECTIVE: In search of a key driver for the invasive growth of cancer metastasis, AK...

Integrative neurorehabilitation using brain-computer interface: From motor function to mental health after stroke.

Stroke remains a leading cause of mortality and long-term disability worldwide, frequently resulting...

Overview of South Korean Guidelines for Approval of Large Language or Multimodal Models as Medical Devices: Key Features and Areas for Improvement.

Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review.

Quality inspection of fruits and vegetables linked to food safety monitoring and quality control. Tr...

Designing Clinical Trials for Patients With Rare Cancers: Connecting the Zebras.

The field of rare cancer research is rapidly transforming, marked by significant progress in clinica...

Leveraging multi-modal feature learning for predictions of antibody viscosity.

The shift toward subcutaneous administration for biologic therapeutics has gained momentum due to it...

A deep learning-based approach for the detection of cucumber diseases.

Cucumbers play a significant role as a greenhouse crop globally. In numerous countries, they are fun...

Artificial intelligence to predict treatment response in rheumatoid arthritis and spondyloarthritis: a scoping review.

To analyse the types and applications of artificial intelligence (AI) technologies to predict treatm...

Assessing Patient-Reported Satisfaction With Care and Documentation Time in Primary Care Through AI-Driven Automatic Clinical Note Generation: Protocol for a Proof-of-Concept Study.

BACKGROUND: Relisten is an artificial intelligence (AI)-based software developed by Recog Analytics ...

Real-world data analysis of topotecan in combination with Bevacizumab or CycloPhosphamide in the FDA adverse event reporting system (FAERS) database.

BACKGROUND: The main purpose of this study is to observe and detect adverse reactions to the combina...