FDA General

Protein fibril-based delivery systems for bioactive substances: Structural design, functional regulation, and food applications.

Protein fibrils (PFs) are β-sheet-rich supramolecular assemblies with high aspect ratios, tunable surface chemistry, and multiscale assembly behavior, making them promising food-grade carriers for bioactive compounds. However, their delivery performance depends not simply on increasing fibril order or structural stability, but on balancing carrier robustness with molecular binding and release beha...

Food-derived components as natural skin-whitening strategies: Classification, mechanisms, application forms and prospects.

BACKGROUND: Skin hyperpigmentation has attracted widespread attention. Traditional chemical skin-whitening components pose potential risks, whereas food-derived skin-whitening components are gaining increasing attention owing to their natural food sources and high biocompatibility. SCOPE AND METHODS: This review was conducted by comprehensively searching Google Scholar, Wiley, and Taylor & Francis...

Stability Switching and Oscillation Regulation Strategies for Large-Scale Fractional-Order Neural Networks With Double Hubs and Multiple Delays.

Abnormal neuronal oscillations underlie various brain disorders; however, effective regulation remains challenging due to the inherent complexity of n...

Hybrid EEG Feature Fusion Framework for Accurate Autism Spectrum Disorder Diagnosis Using Ensemble Learning.

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition with increasing global prevalence and no standardized biological test for ear...

Three-Stage Evolution of China's Breakthrough Therapy Drug Policy: AI-Driven Quantitative Evidence and Global Implications.

BACKGROUND: Many countries have accelerated the approval of innovative drugs through breakthrough therapy policies to meet public health needs. China ...

An AI-Enabled Predictive Harm Response Management Algorithmic Tool to Reduce Adverse Events in Health Care Settings (PreHaRM): Protocol for a Three-Phase Model Development and Pilot-Testing Study.

BACKGROUND: Current data analysis and coordination methods do not effectively support nurses and midwives in risk reduction, as retrospective reportin...

CO2 absorption process in aqueous tri-solvent blended amine systems with experiments and artificial intelligence techniques.

Aiming at the problems of unclear component synergy mechanism, unquantified multi-factor regulation laws and lack of full-scenario prediction models i...

A critical review on persulfate-based catalytic systems: Deactivation mechanisms and regulation strategies.

Catalyst deactivation remains a critical bottleneck impeding the industrial application of persulfate (PS)-based Fenton-like oxidation processes. Whil...

Coconstructing CHAMP, an Artificial Intelligence Chatbot for Pediatric Infectious Symptoms Management: Protocol for a Multiphase Participatory Study.

BACKGROUND: Acute infectious symptoms are a leading cause of pediatric emergency department visits in Canada, many of which are low acuity and could b...

Artificial Intelligence in Neuroradiology: A Review of FDA-regulated Algorithms.

Artificial intelligence (AI) is increasingly integrated into neuroradiology practice, with a growing number of FDA-cleared algorithms now supporting t...

Machine learning and deep learning for ankle fracture detection in radiographs: A systematic review with narrative synthesis on diagnostic performance and future clinical integration.

AIMS: Ankle fractures are a prevalent orthopedic injury with X-rays being the primary diagnostic tool. Errors in radiological interpretation leads to ...

Constitutive activation of a hybrid two-component regulator reveals cross-regulation of polysaccharide utilization genes in Bacteroides.

Human gut microbes, such as Bacteroides, rely on specialized gene clusters known as polysaccharide utilization loci (PULs) to metabolize diverse dieta...

Measuring multi-site pulse transit time with an AI-enabled mmWave radar.

Pulse Transit Time (PTT) is a measure of arterial stiffness and a physiological marker associated with cardiovascular function, with an inverse relati...

In silico discovery of novel small-molecule PD-L1 inhibitors through a multi-stage computational workflow integrating machine learning and molecular dynamics.

Cancer immunotherapy targeting the PD-1/PD-L1 pathway has transformed modern oncology; however, developing small-molecule inhibitors as viable alterna...

An exploratory application of modern statistical methodology and machine learning techniques in assessment of crystallinity monitoring and control strategy development for high-risk drug manufacturing.

Pharmaceutical polymorphism and crystallinity changes may have significant impact on drug's quality, efficacy, and safety. The risk mitigation strateg...

Regulated bioanalysis in the age of AI: interpreting the FDA-EMA guiding principles for laboratory practice.

Enhancing nitrogen conservation in aerobic composting through microbial and material interventions: Implications for carbon neutrality.

Nitrogen loss during aerobic composting remains a critical barrier that hinders high-efficiency compost and less greenhouse gas emissions. This review...

Cereulide-Mediated Emetic (Vomiting) Toxicity of Bacillus cereus in Infant Formula: Mitochondrial Mechanisms, Analytical Methods, and Risk Assessment.

Cereulide is a heat stable cyclic dodecadepsipeptide and potassium selective ionophore produced by Bacillus cereus, recognized as the causative agent ...

Liquid Biopsy in Modern Oncology: Advances, Challenges, and Future Perspectives in Early Cancer Detection, Minimal Residual Disease, and Dynamic Patient Monitoring.

PURPOSE OF REVIEW: Liquid biopsy has emerged as a minimally invasive approach to overcome the limitations of tissue biopsy in oncology. This review ai...

Unraveling the molecular landscape of chronic radiation injury: From oxidative stress signaling to translational modeling (Review).

The expanding footprint of human radiation exposure, driven by advances in interventional diagnostics, the resurgence of the nuclear industry and the ...