FDA General

Interoceptive machine framework: Toward interoception-inspired regulatory architectures in artificial intelligence.

This review proposes an integrative framework grounded on interoception and embodied AI-termed the interoceptive machine framework-that translates biologically inspired principles of internal-state regulation into computational architectures for adaptive autonomy. Interoception, conceived as the monitoring, integration, and regulation of internal signals, has proven relevant for understanding adap...

Human-in-the-Loop Governance of Artificial Intelligence in Cardiology: From Ethical Principles to Operational Paradigms.

BACKGROUND: Artificial intelligence (AI) is transforming cardiology across ECG interpretation, imaging, risk prediction, remote monitoring, and workflow automation. Cardiologists need governance models that preserve clinical judgment, reduce harm, and reflect Indian realities. METHODS: This narrative reviews policy documents (2018-February 2026) spanning the EU AI Act, WHO, OECD, ICMR, FDA GMLP, F...

History repeats in sweet solutions: toxicological concerns and targeted recommendations following the cough syrup-linked paediatric mortalities in India.

The latest episode of cough syrup-associated pediatric deaths in India linked to the reported diethylene glycol (DEG) contamination reverberates a lon...

High-throughput identification of bacterial β-glucuronidase inhibitors using machine learning.

The human gut microbiome plays a vital role in regulating host physiological functions and influencing the pharmacokinetics of interventions, particul...

EXPRESS: Effect of the Use of Artificial Intelligence Tools on Clinical Education and Clinical Decision-Making of Medical Students During Clinical Rotations: A Scoping Review.

Medical education is transforming due to new technologies such as artificial intelligence (AI). Although AI is being considered for medical education,...

YOLO-geochemical integration for real-time aeolian dust monitoring: a critical review of signatures, health risks, and policy implications.

Aeolian dust is one of the most pervasive natural air pollutants, strongly influencing atmospheric chemistry, visibility, climate feedback, and human ...

Artificial intelligence in prostate cancer imaging: A mini-review of current applications and future directions.

This mini-review synthesizes evidence from recent studies to provide an updated perspective on current applications, methodological challenges, and fu...

Hyperspectral Imaging for Breast-Conserving Surgery Margin Assessment: A Systematic Review.

CONTEXT.—: Breast-conserving surgery (BCS) offers comparable overall survival rates to mastectomy. However, 14% to 37% of cases require re-excision ow...

Predicting Enhancer-Promoter Interactions Using a Stacking-Based Ensemble Strategy.

MOTIVATION: Enhancer-promoter interactions (EPIs) are essential for gene regulation and disease progression. Recent studies have shown that distal enh...

Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.

INTRODUCTION: Exacerbations, impaired health-related quality of life (HRQoL) and reduced exercise capacity increase the risk of hospitalisations and d...

Atopic dermatitis.

Atopic dermatitis (AD) is the most common inflammatory skin disease and carries the highest disability-adjusted life-years burden, ranking 15th among ...

Tuberculosis in households with infectious cases in Kampala city: Harnessing health data science for new insights on an ancient disease with persistent, unresolved problems.

Tuberculosis (TB) is prevalent in Uganda and overlaps with a high rate of HIV/TB coinfection. While nearly all hospital-based TB cases in Kampala, the...

Geometric Structure-Aware Diffusion Model with Self-Optimization Strategy for Molecular Generation.

With the advancement of artificial intelligence, molecular design based on generative models offers novel approaches to accelerate drug discovery. How...

Impact of artificial intelligence integrations on empathy in healthcare interactions between patients and practitioners: protocol for a systematic review and thematic synthesis of qualitative studies.

INTRODUCTION: Empathic healthcare improves patient satisfaction with care, anxiety and pain, while reducing practitioner burnout. Artificial intellige...

Clinical outcomes, patient satisfaction and operational efficiency of AI-powered chatbots in medicine and healthcare: protocol for an AI-aided scoping review.

INTRODUCTION: Artificial intelligence (AI)-powered chatbots are increasingly integrated into healthcare to support administrative processes, health ed...

An integrated machine learning and mendelian randomization approach identifies SERPING1 as a prognostic biomarker associated with CD8 + T-cell infiltration in DLBCL.

BACKGROUND: SERPING1, which encodes the C1 inhibitor (C1-INH) of the complement system, and plays a key regulator in regulating inflammatory responses...

O-SNAP uncovers nanoscale chromatin remodeling in dedifferentiation and stress responses.

The multi-scale organization of chromatin underlies gene regulation and cell identity, yet how nuclear architecture remodels during cell state transit...

Development and external validation of the HCH and HPMS prognostic indices for sepsis: a retrospective model development study using a Multi-Objective Non-Newtonian Fluid optimization algorithm.

BACKGROUND: The pathological heterogeneity of sepsis makes it challenging for traditional scoring systems to balance early-warning sensitivity, dynami...

Radiologist Perceptions of an AI Tool for Intracranial Hemorrhage Detection in Teleradiology: Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) detection tools for intracranial hemorrhage (ICH) are increasingly integrated into radiology workflows. In re...

Digital Transformation of Medicines Regulation in Africa-Perspectives from a Stakeholder Convening.

Regulatory authorities worldwide are developing strategies to integrate artificial intelligence (AI) into the lifecycle of health products, technologi...