CONCLUSION: Mortality involving coexisting CAD and HF declined overall but showed persistent demographic and geographic disparities. Targeted prevention strategies are needed to reduce the ischemic HF burden in high-risk populations.

Understanding how temperature-sensitive organisms respond to environmental change is central to addressing challenges in public health, biodiversity conservation and food security. For many ectotherms, abiotic and biotic factors shape their abundance and distribution by generating stage-specific variation in life history traits. Although previous studies have examined temperature, rainfall, competition and habitat quality in relation to maximal population growth rate ( r m $$ {r}_{\mathrm{m}}...

Disease-modifying therapies (DMT)s) for relapsing-remitting multiple sclerosis (RRMS) act through distinct immunological mechanisms, yet the within-patient molecular response programs associated with these therapies remain incompletely defined. Here, we reanalyzed publicly available peripheral blood mononuclear cell (PBMC) miRNA microarray data (GSE230064) using a longitudinal, robustness-focused framework to compare therapy-associated miRNA response patterns following cladribine versus...

Acute heart failure (AHF) causes abrupt hemodynamic disturbances, including reduced forward flow and venous congestion, which may extend beyond the heart and contribute to peripheral organ stress. Skeletal muscle may be particularly vulnerable to these changes, but the relationship between acute hemodynamic status and circulating markers of skeletal muscle stress and regulation remains unclear. We prospectively enrolled 35 men hospitalized with AHF and non-invasively assessed their cardiac index...

Artificial intelligence is now embedded across the scientific research and publishing ecosystem, influencing discovery, analysis, knowledge translation, authorship, peer review, and editorial workflows. In cardiovascular and biomedical sciences, these developments offer substantial opportunities to accelerate knowledge generation, integrate complex datasets, and improve efficiency and consistency. At the same time, they introduce new risks related to bias, transparency, data integrity, and...