AI Medical Compendium

Adapting the REVEAL Lite 2 score to the pediatric population through machine learning: insights from the REHIPED registry for pediatric pulmonary hypertension.

Revista espanola de cardiologia (English ed.) Apr 23, 2026

INTRODUCTION AND OBJECTIVES: Risk scores for pulmonary hypertension (PH) have been proven useful in adults. However, no risk score has been validated in pediatric populations. Our aim was to adapt the REVEAL Lite 2 score to pediatrics, including grou... read more

Multidimensional transcriptomic analysis and in vitro experiments dissect the landscape of 2',2',4',4'-Tetrabromodiphenyl ether in bladder cancer progression.

Chemico-biological interactions Apr 23, 2026

2',2',4',4'-Tetrabromodiphenyl ether (BDE-47), the most widespread congener of polybrominated diphenyl ethers, has attracted considerable attention due to its environmental persistence and extensive use. Although epidemiological data associate BDE-47... read more

Topo-UNet: A topology-aware multi-task network for pulmonary vessel segmentation.

Artificial intelligence in medicine Apr 23, 2026

The precise segmentation of pulmonary vessels is crucial for the early diagnosis and treatment of pulmonary diseases. However, vessel images are frequently compromised by high levels of noise and blurred boundaries, which complicate the extraction of... read more

Prediction of retained placenta in holstein dairy cows based on machine learning approaches: Comparative analysis of risk factors and predictive algorithms.

Preventive veterinary medicine Apr 23, 2026

Retained placenta (RP) is a common postpartum disorder in dairy cows that significantly impairs reproductive performance and farm profitability. This study aimed to identify key risk factors and develop a robust machine learning (ML)-based predictive... read more

Analysis and visualization of expression patterns with fuzzy sets as FlowSets.

NAR genomics and bioinformatics Apr 23, 2026

The growing availability of high-dimensional, complex datasets demands analysis methods that are both interpretable and flexible. We introduce FlowSets, a novel framework for identifying and analysing flows-fuzzy, interpretable patterns-across multip... read more

CNV-Hub: an integrated web-based platform for CNV classification and interpretation using multi-algorithm consensus.

NAR genomics and bioinformatics Apr 23, 2026

Copy number variations (CNVs) are genomic alterations that can cause rare genetic diseases. Their interpretation requires consulting multiple databases and following classification guidelines, such as those from the American College of Medical Geneti... read more

Predicting Achilles tendon and patellofemoral joint forces during running with consumer-grade wearable sensor data.

Journal of biomechanics Apr 23, 2026

Estimating internal forces at common injury locations may identify injury-prone runners but requires in-lab gait analysis. Consumer-grade wearable-sensors track key gait metrics, which may enable prediction of internal forces during real-world runnin... read more

Prediction model for daily feed intake during the growing period in floor-reared Wanxi White Geese based on machine learning and feeding behavior features.

Poultry science Apr 23, 2026

To improve the efficiency of obtaining daily feed intake (DFI) of Wanxi White geese under floor-rearing conditions, this study used 200 Wanxi White geese as experimental animals. Individual information such as body weight (BW) and feeding behavior da... read more

Three-dimensional oxygen maps of tumors in real time - Analysis in the context of active tumor vasculature.

Computer methods and programs in biomedicine Apr 23, 2026

BACKGROUND AND OBJECTIVE: Characterizing the tumor microenvironment (TME) requires integrating multiple physiological features, including oxygenation, vascularity, and redox status. While EPR oxygen imaging (EPROI) provides spatial pO₂ maps, conventi... read more

Depth map filtering method for shape-from-focus recovery based on hybrid network model.

Micron (Oxford, England : 1993) Apr 23, 2026

Shape-from-focus (SFF) is an economically efficient 3D shape recovery technology. As a core module of 3D digital microscopes, its primary goal is to acquire high-quality depth maps. However, the performance of such technology is highly dependent on t... read more

Artificial Intelligence Medical Compendium