The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
Apr 23, 2026
PURPOSE: Many potential Donation After Circulatory Death (DCD) donors do not progress to circulatory death within meaningful timeframes, leading to wasted procurement resources. We therefore sought to develop robust machine learning models to predict... read more
Biochimica et biophysica acta. Molecular basis of disease
Apr 23, 2026
Psoriasis is a chronic inflammatory skin disorder characterized by dysregulated lipid metabolism, yet the key molecular drivers remain unclear. This study aimed to identify and validate novel metabolic regulators in psoriasis. Using a multi-stage bio... read more
Autism Spectrum Disorder (ASD) remains diagnostically challenging due to its neurobiological heterogeneity and the current reliance on subjective behavioral assessments. To address this, we propose a novel stacked ensemble machine learning framework ... read more
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
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
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
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
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
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
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
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