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Governing Trust in Health AI: A Qualitative Study of Cybersecurity Professionals Perspectives

Background: Artificial intelligence is increasingly embedded in healthcare delivery. Its legitimacy ...

MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection

Smartphone clip-on microscopes turn everyday devices into low-cost, portable imaging systems that ca...

Autonomous Inspection of Power Line Insulators with UAV on an Unmapped Transmission Tower

This paper introduces an online inspection algorithm that enables an autonomous UAV to fly around a ...

Event-Aided Sharp Radiance Field Reconstruction for Fast-Flying Drones

Fast-flying aerial robots promise rapid inspection under limited battery constraints, with direct ap...

Retrospective evaluation of human genetic evidence for clinical trial success using Mendelian randomization and machine learning

Human genetics has become a cornerstone of drug target discovery, yet the value of Mendelian randomi...

A Two-Stage Detection-Tracking Framework for Stable Apple Quality Inspection in Dense Conveyor-Belt Environments

Industrial fruit inspection systems must operate reliably under dense multi-object interactions and ...

Sino-US-DrugQA: A Benchmark for Evaluating Large Language Models in Cross-Jurisdictional Pharmaceutical Regulation

Cross-jurisdictional pharmaceutical compliance requires comparative analysis of regulatory requireme...

Thinking Like a Radiologist: A Dataset for Anatomy-Guided Interleaved Vision Language Reasoning in Chest X-ray Interpretation

Radiological diagnosis is a perceptual process in which careful visual inspection and language reaso...

AmesNet: A Task-Conditioned Deep Learning Model with Enhanced Sensitivity and Generalization in Ames Mutagenicity Prediction

Regulatory agencies require comprehensive genotoxicity assessments for all novel small-molecule ther...

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis

Artificial intelligence allows automatic extraction of imaging biomarkers from already-acquired radi...

Early Detection of Absurdity Signals in Pharmacovigilance: A Machine Learning Ensemble Approach to Identify Rare Adverse Drug Reactions

Background: Traditional pharmacovigilance methods based on biostatistical approaches systematically ...

Personalised approach to hypertension treatment: Rationale and design of the HYPERMARKER randomised trial

Background and Objective: Blood pressure treatment response is variable in individual patients, and ...

Explainable Deep-Learning on condition specific expression profiles reveals critical cytosines in gene regulation

Compared to other nucleotides, the cytosines stand as the most expressive one for gene regulation in...

Edge-Optimized Vision-Language Models for Underground Infrastructure Assessment

Autonomous inspection of underground infrastructure, such as sewer and culvert systems, is critical ...

BEACON: predicting side effects and therapeutics outcomes to drugs by Bridging knowlEdge grAph with CONtextual language model

Biomedical knowledge graphs encode millions of relationships between drugs, proteins, pathways, and ...

Metric Hub: A metric library and practical selection workflow for use-case-driven data quality assessment in medical AI

Machine learning (ML) in medicine has transitioned from research to concrete applications aimed at s...

Spatial mapping of RNA turnover kinetics and regulatory landscapes of mRNA stability in the mammalian brain

Spatial and activity-dependent gene regulation in the mammalian brain requires coordinated control o...

InspecSafe-V1: A Multimodal Benchmark for Safety Assessment in Industrial Inspection Scenarios

With the rapid development of industrial intelligence and unmanned inspection, reliable perception a...

Synthetic-to-Real Domain Bridging for Single-View 3D Reconstruction of Ships for Maritime Monitoring

Three-dimensional (3D) reconstruction of ships is an important part of maritime monitoring, allowing...

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