SEED-ML (Semen Examination and Evaluation Dataset for Machine Learning) is an openly available, multi-parametric clinical dataset specifically designed to support research in male infertility diagnostics and prediction. SEED-ML refers specifically to... read more
BACKGROUND: Alterations of cerebellar volume were reported in prematurely-born children, adolescents and adults, suggesting long-lasting effects on cerebellar growth. However, studies mostly examined global cerebellar volumes, which could disguise fo... read more
OBJECTIVE: This study aimed to examine associations between multiple gaseous air pollutants across different developmental periods and depressive in late adolescence. We also investigated the mediating role of sleep duration. METHODS: This population... read more
Developments of cities are always accompanied by environmental sacrifice, especially increasing CO2 emission is one of the significant drivers of climate warming. Accurate city-level CO2 emissions forecasting is critical for urban carbon management, ... read more
Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Apr 9, 2026
Metagenomics, culture-independent profiling of genetic material recovered from environmental samples, provides a powerful route to characterize microbial communities associated with legumes and to translate their functional potential into breeding ta... read more
Nutrition research is increasingly utilizing artificial intelligence (AI) and machine learning to address analytical challenges posed by high-dimensional data and to enable personalized recommendations and health predictions. This review provides an ... read more
The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation
Apr 9, 2026
We report a novel approach of robotic-assisted, minimally invasive biventricular assist device (BiVAD) implantation using HeartMate 3 in a 61-year-old male with severe biventricular dysfunction due to dilated cardiomyopathy. Robotic assistance enable... read more
Dairy Cattle (DC) methane (CH4) emission prediction models offer an accessible alternative to traditional recording technologies but struggle to maintain performances when applied outside the scope of their original training data. This study evaluate... read more
BACKGROUND: Many patterns from the entire strain and TDI curves remain uninvestigated. OBJECTIVES: We investigated whether applying signal analysis with supervised machine learning (ML) to strain and TDI curves would improve the prediction of heart f... read more
Ageing is the primary risk factor for many chronic, degenerative, and life-threatening disorders, yet the translational pipeline for geroprotective interventions remains comparatively sparse. Short‑lived, experimentally tractable models with conserve... read more
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