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The Intelligence Revolution in Biosensing: Transforming Raw Data into Smart Clinical Diagnostics.

Artificial intelligence (AI) is revolutionizing nanobiotechnology-enabled biosensing by combining advanced nanomaterials with intelligent data analytics to create next-generation diagnostic platforms. This review summarizes recent progress in AI-integrated nano-biosensors, highlighting the contributions of functional nanomaterials such as graphene, carbon nanotubes, metal oxides, quantum dots, and...

Head-to-Head Comparative Evaluation of Four Commercially Available Artificial Intelligence Systems for Detecting Referable Diabetic Retinopathy in a Tanzanian Population.

OBJECTIVE: Comparative evaluations of commercially available artificial intelligence (AI) systems for use in diabetic retinopathy (DR) screening, particularly studies that identify systems by name, are limited, constraining procurement and implementation. This study aimed to identify commercially available AI systems potentially suitable for DR screening in a low-resource Tanzanian setting and com...

Light Intensity-Driven Bidirectional Photoresponse Vision Sensor for Autonomous Obstacle Avoidance System.

Bio-inspired vision sensors emulating neural-pathway processing hold significant promise for next-generation robotics and artificial intelligence. How...

Translational Gaps in Immuno-AI: From algorithmic accuracy to clinical trust.

Artificial intelligence has shown remarkable promise in predicting patient responses to immune checkpoint inhibitors across cancers. However, despite ...

Engineering Synergistic Pd-Ni Co-Modified System for Highly Efficient Hydrogen Sensing.

The development of hydrogen sensors with low operating temperatures, high sensitivity, and high selectivity is critically important for ensuring safet...

From DNA to Drug Discovery AI Models for Cardiovascular Precision Medicine.

Cardiovascular diseases remain the world's leading cause of death-yet the molecular mechanisms linking genetic variation to clinical outcomes are stil...

Sinomenine alleviates ulcerative colitis by targeting FXR to regulate arachidonic acid metabolism and Th17/Treg homeostasis.

Sinomenine (SIN), a bioactive alkaloid with anti-inflammatory activity, has shown therapeutic potential in ulcerative colitis (UC), but its precise mo...

Genomics of Dendritic Cell Pyruvate Metabolism Reveals Stage-Associated Circulating Immune Signatures in Diabetic Retinopathy.

BACKGROUND: The role of circulating pyruvate in diabetic retinopathy (DR) progression is poorly defined. Unravelling its cell-specific genomic regulat...

Development and External Validation of a Transcriptome-Based Multivariable Prediction Model for Treatment-Free Remission in Chronic Myeloid Leukemia.

PURPOSE: Treatment-free remission (TFR) is a major therapeutic objective in chronic myeloid leukemia (CML). However, nearly 50% of patients relapse af...

Observational study of predictors and outcomes of lung cancer in never-smokers in the UK (OLIVE): study protocol.

INTRODUCTION: Lung cancer is commonly associated with smoking. However, if considered separately, lung cancer in never-smokers (LCINS) is the seventh ...

Comparative evaluation and selection of optimal QSAR-based machine learning model for liver toxicity prediction.

Drug induced liver toxicity remains the most common cause of acute liver failure. Conventional toxicity detection relies on resource-intensive in vivo...

Artificial intelligence in anaesthesiology: why don't we have it in our hands after a decade of innovation? A systematic review and perspective.

BACKGROUND: Machine learning (ML) tools are increasingly integrated into various sectors, including healthcare, where they have demonstrated disruptiv...

Identification of Centrosome Duplication-Related Biomarkers in Hypertrophic Cardiomyopathy Through Integrative Multi-Omics, Single-Cell Transcriptomics, and Experimental Validation.

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a prevalent inherited cardiovascular disorder characterized by ventricular wall thickening and myocar...

AI-driven QSAR modelling and virtual screening in the discovery of selective dopamine D2 receptor ligands.

The dopamine D2 receptor (DRD2) is a key therapeutic target for several neuropsychiatric disorders, driving the need for new ligands with improved saf...

Assessing the impacts of urbanization and climate variability on cropland dynamics and food security in Punjab, Pakistan (2000-2025): a multi-scale remote sensing and machine learning approach.

Punjab, Pakistan's primary agricultural province, faces mounting pressure from urbanization, groundwater depletion, and climate variability, threateni...

Bias, External Validation, and Real-World Implementation of Artificial Intelligence Models in Cardiovascular Medicine.

Artificial intelligence (AI) and machine learning (ML) have demonstrated strong diagnostic and prognostic performance across cardiovascular medicine. ...

Integrating machine learning and pharmacogenomics for biomarker discovery, identification and prioritization of potential drug candidates in ovarian cancer.

Ovarian cancer remains a major global health concern and leading cause of mortality among women due to late diagnosis, therapeutic resistance, and lim...

Rehabilitation Protocols Following Patellar Instability Surgery: A Structured Review of Published Recommendations and AI Generated Guidance.

PURPOSE OF REVIEW: To review postoperative rehabilitation protocols after surgery for patellar instability, including medial patellofemoral ligament r...

High Patient Willingness to Grant Broad Consent for Real-World Data Use in Rheumatology-Implications for Real-World Data Platform Governance: Cross-Sectional Study.

BACKGROUND: Medical real-world data (RWD) are often siloed across organizations, making them inaccessible for research. Unlocking these data could adv...

Auricular Point Acupressure Self-Management (APA-SM) program for chronic musculoskeletal pain among rural populations: a protocol for a pragmatic, randomized controlled trial.

INTRODUCTION: Chronic musculoskeletal pain (CMP) is a leading cause of incurred personal healthcare costs and disability in the USA. It disproportiona...