FDA General

Spatially resolved airway niches: mapping epithelial-immune microenvironments in asthma.

INTRODUCTION: Spatially resolved omics has reconceptualized the bronchial wall as a mosaic of epithelial - immune microenvironments whose local molecular circuits drive asthma heterogeneity and medication responsiveness. AREAS COVERED: We searched PubMed, Embase, Web of Science, and Scopus (January 2005 - July 2025) using platform-specific and disease-related keywords and identified studies that e...

A perspective on AI implementation in medical imaging in LMICs: challenges, priorities, and strategies.

OBJECTIVES: Artificial intelligence (AI) promises to accelerate and democratize medical imaging, yet low- and middle-income countries (LMICs) face distinct barriers to adoption. This perspective identifies those barriers and proposes an action-oriented roadmap. MATERIALS AND METHODS: Insights were synthesized from a Johns Hopkins Science Diplomacy Hub workshop (18 experts in radiology, AI, and hea...

Tracking the Debate: Geo-Temporal Sentiment Analysis of Community Water Fluoridation on 'X' (Formerly Twitter) With Five-Year Forecast.

OBJECTIVES: This study examined country-level geo-temporal sentiment trends in community water fluoridation (CWF) discussions on 'X' from 2014 to 2023...

Prescribed-rate target tracking for time-delayed systems using output measurements.

This paper investigates target tracking systems with input time delays using output measurements and reinforcement learning to ensure tracking perform...

Machine learning for food flavor prediction and regulation: models, data integration, and future perspectives.

BACKGROUND: Flavor is a central attribute of food quality, shaping consumer preferences and market performance. Traditional evaluation methods, such a...

A systematic review of the role of wearable devices and artificial intelligence applications in assessing functional outcomes after lumbar fusion.

BACKGROUND CONTEXT: As the population ages, rates of lumbar spine disease have risen, and lumbar fusion surgeries have become more prevalent. There ha...

The Pediatric Surgeon's AI Toolbox: How Large Language Models Like ChatGPT Are Simplifying Practice and Expanding Global Access.

INTRODUCTION: Pediatric surgeons face substantial administrative workload. Large language models (LLMs) may streamline documentation, family communica...

Cingulate atrophy as a shared structural basis for cognitive and functional brain impairments in GAD, PD, and OCD: Links to shared gene expression and treatment implications.

BACKGROUND: Structural brain deficits associated with generalized anxiety disorder (GAD), panic disorder (PD), and obsessive-compulsive disorder (OCD)...

Epigenome and interactome profiling uncovers principles of distal regulation in the barley genome.

Regulation of transcription initiation is the ground level of modulating gene expression during plant development. This process relies on interactions...

Recent advances in graphene-based biosensors for point-of-care diagnostics.

This review presents the recent advances and innovations in graphene-based biosensors for point-of-care diagnostics. Graphene provides high electron m...

Ethical oversight of Artificial Intelligence in Nigerian Healthcare: A qualitative analysis of ethics committee members' perspectives on integration and regulation.

BACKGROUND: The adoption of artificial intelligence (AI) in healthcare has the potential to improve diagnostic accuracy, streamline processes, and add...

What can we learn about chronic rhinosinusitis through mucus?

PURPOSE OF REVIEW: Sinonasal mucus biomarkers have emerged as a powerful, noninvasive tool to better understand the immunopathology of chronic rhinosi...

Health Care Ramifications of Pervasive Direct-to-Consumer Prescription Drug Advertising.

Direct-to-consumer (DTC) advertisements for prescription drugs are an enduring feature of the US media landscape. These ads are costly (>$8 billion ex...

Harnessing the application of artificial intelligence in identification of traditional Chinese medicines.

ETHNOPHARMACOLOGICAL RELEVANCE: The integration of artificial intelligence (AI) into pharmaceutical practice represents a paradigm shift, offering inn...

Deep learning with multimodal Raman spectral fusion framework: An analytical approach for microalgal lipid quantification.

As a key feedstock for sustainable bioenergy, microalgae require precise regulation of lipid synthesis and accurate detection methods. To efficiently ...

Regulating AI in Nursing and Healthcare: Ensuring Safety, Equity, and Accessibility in the Era of Federal Innovation Policy.

The rapid integration of artificial intelligence in healthcare, accelerated by the Trump administration's 2025 AI Action Plan and private sector innov...

Prefrontal cortex cytosolic and synaptosome proteome reveal molecular signatures of resilience to chronic social isolation stress in rats.

Chronic social isolation stress (CSIS) is a well-established preclinical model for studying stress-induced neurobiological changes and their effects o...

Metacognition for Unknown Situations and Environments (MUSE).

Metacognition, defined as the awareness and regulation of one's cognitive processes, is central to human adaptability in unknown situations. In contra...

Training With Local Data Remains Important for Deep Learning MRI Prostate Cancer Detection.

OBJECTIVES: Domain shift has been shown to have a major detrimental effect on AI model performance however prior studies on domain shift for MRI prost...

Surgeon Perception of Artificial Intelligence in Thoracic Surgery: Insights From an International Survey.

BACKGROUND: The use of artificial intelligence (AI) in medicine has increased dramatically. Its use will expand in cardiothoracic (CT) surgery and alt...