BACKGROUND: Cardiovascular disease (CVD) remains the leading global cause of death. While metabolic dysregulation is central to CVD pathogenesis, the extent to which distinct clinical subtypes exhibit unique or shared metabolic signatures remains unc... read more
OBJECTIVE: This study aimed to develop and validate a machine learning model integrating multi-omics and radiomics data to improve diagnostic accuracy and identify potential biomarkers for Rheumatoid Arthritis-Associated Interstitial Lung Disease (RA... read more
The implications of green value chain design for business performance are a central and highly relevant issue for companies. In this context, Digital Service Innovation (DSI) emerges as a form of technological innovation that enables firms to more ef... read more
Carbon benefit assessment of energy crop deployment (ECD) is crucial for achieving climate commitments, yet the current lack of a comprehensive evaluation framework integrating climate change impacts creates knowledge gaps that may undermine policyma... read more
Artificial intelligence use in publishing has benefits, but concerns around intellectual ownership, authorship, and scholarly authenticity must be addressed. read more
Journal of the American Medical Directors Association
Apr 17, 2026
OBJECTIVE: Patients discharged from hospitals to skilled nursing facilities (SNFs) for post-acute care are at high risk for adverse outcomes, including death. We aimed to develop machine learning (ML) models that predict death within 30 or 180 d afte... read more
The reliance on model organisms in biotechnology has advanced our understanding of fundamental biology but has failed to capture the complexity of real-world ecosystems, limiting applications in agriculture, biomanufacturing, and environmental remedi... read more
Immediate implant placement and interim restoration in the anterior maxilla remains challenging because of the high esthetic demands and the risk of soft-tissue recession. This clinical report describes a fully digital workflow integrating artificial... read more
Machine learning (ML) offers powerful tools for clinical risk prediction, enhancing traditional statistical approaches through improved pattern recognition and predictive capability-its role and use in cardiovascular care and research is expanding. T... read more
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