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Urgent Need for Artificial Intelligence Readiness: Insights From a Multicenter Cross-Sectional Study on Medical Undergraduates and Radiology Trainees in Central and Western China.

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) is reshaping the future of medicine, particularly influencing specialties like radiology. While the adoption of AI continues to accelerate, its integration presents both opportunities and challenges. To date, limited research has examined the perspectives of medical students and radiology trainees in less-developed regions of China-groups esse...

SNAC-DB: An ML-ready database for antibody and NANOBODY® VHH-antigen complexes with expanded structural diversity and real-world benchmarking.

Predicting antibody and NANOBODY® VHH-antigen complexes remains a critical challenge for state-of-the-art structure prediction models, limiting their impact in therapeutic discovery pipelines. We introduce SNAC-DB, an ML-ready database and curation pipeline enriched with structural biology expertise, designed to accelerate model accuracy and generalization by providing 31-37% expanded structural d...

Blinded, bias-controlled multi-rater evaluation of human-versus-AI brain metastasis segmentation using a hybrid foundation-model framework.

BACKGROUND: Accurate segmentation of brain metastases (BM) is essential for diagnosis, stereotactic radiosurgery planning, and longitudinal assessment...

An Aging Clock Based on Immune Repertoire Features: COVID-19 Accelerates Aging.

Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pathogen vulnerability, yet T/B cell receptor (TCR/B...

Using an Ambient Artificial Intelligence Tool to Document Clinical Pharmacist Patient Encounters: Real-World Evidence From a Federally Qualified Health Center.

BACKGROUND: Documentation burden in the electronic health record (EHR), including clinical note writing, inbox management, and order entry, contribute...

The digital transformation of reproductive health: A comprehensive review of Femtech innovations and their clinical applications.

The digital transformation of reproductive health has been accelerated by rapid advances in Femtech, which offers new approaches to addressing inferti...

Can heavy metal accumulation in crops be mitigated by microbial inoculants? A meta-analysis and machine learning.

"Hidden hunger" and heavy metal contamination in agricultural products pose critical challenges to agricultural security, with microbial inoculants of...

Computational validation of a wearable biomechanical sensor network framework for real-time fatigue monitoring and performance prediction in gymnastic training.

This study introduces a simulation-based wearable biomechanical sensor network framework intended to support real-time fatigue monitoring and performa...

In vitro development of the Autonomous Colonoscope Robot System (ACRS) for fully automated colonoscope insertion.

BACKGROUND: In the field of colonoscopy, robotic systems have been developed to support or replace human operators due to a shortage of trained endosc...

Big Data-Driven Video Anomaly Detection Using VideoMAE for Visual Analytics in CCTV Surveillance.

In the rapidly evolving industry, the need for surveillance is highly needed for the safety of confidential and highly sensitive organizations. With t...

Artificial intelligence (AI)-aided clinical data management: Applications, human-in-the-loop workflows, and regulatory considerations.

Clinical data management (CDM) is central to the quality of clinical research. In Japan, CDM faces a shortage of qualified personnel, particularly in ...

Agreement between ChatGPT and emergency physicians in laceration management: A prospective study.

INTRODUCTION: Although large language models (LLMs) like ChatGPT are increasingly used in clinical reasoning, their reliability in procedural decision...

Social comparison contributes to work exhaustion in the context of workplace AI use: A three-wave follow-up study of Finnish workers.

BACKGROUND: The rise of artificial intelligence (AI) is transforming work tasks and social relations within organizations. Work exhaustion is increasi...

MeLSI: Metric Learning for Statistical Inference in microbiome community composition analysis.

Microbiome beta diversity analysis relies on distance-based methods, including permutational multivariate analysis of variance (PERMANOVA) combined wi...

Dataset distillation for machine learning force field in phase transition regime.

Machine learning force fields (MLFFs) have emerged as powerful data-driven tools for atomistic simulations, enabling large-scale and complex atomic sy...

Scaling transferable coarse-graining with mean force matching.

Coarse-grained molecular dynamics often sacrifices accuracy and transferability for computational efficiency, but the use of machine-learned potential...

Differential Effects of Prenatal Depression and Anxiety on Infant Sleep: Dual-Pathway Mechanisms Involving the HPA Axis and the Gut-Brain Axis.

STUDY OBJECTIVES: Prenatal psychological distress is associated with adverse offspring outcomes, including infant sleep disturbances and altered gut m...

DeepMASS v2: An enhanced deep learning platform for large-scale discovery and structural annotation of unknown plant metabolites.

Structural elucidation of unknown metabolites remains a fundamental bottleneck in plant metabolomics, where the vast chemical diversity of plant secon...

Diversity of Iodinated Water Disinfection Byproducts and Their Formation Dynamics Discovered Using Exposome-Scale Nontargeted Analysis and Machine Learning.

Water disinfection is critical to minimizing microbial risk, but unintentionally produces disinfection byproducts (DBPs). Exposure to the currently re...

Genomic scale analysis of assembly-line polyketide synthase diversity and evolution.

Covering: up to 2026Assembly-line polyketide synthases (PKSs) are among the most sophisticated catalysts in nature, responsible for the biosynthesis o...