Kumamoto University researchers discover that combining two advanced heart imaging techniques can predict life-threatening ...
In a large ASPREE and ASPREE-XT nested case-control study of older adults without prior cardiovascular disease, people who ...
The study shows that disease severity and poor prognosis in ATTR-CM are associated with elevated levels of mid-regional ...
Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...
Infectious diseases remain a persistent global public health challenge, driven by antimicrobial resistance (AMR) and the ongoing emergence of novel viral pathogens. Drug-resistant bacteria were ...
Abstract: Heart disease causes a significant mortality rate around the world, and it has become a health threat for many people. Early prediction of heart disease may save many lives; detecting ...
Background: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pediatric mortality worldwide. Echocardiography (echo) is central to diagnosing and triaging CHD, yet ...
Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
Abstract: The present work addresses the critical problem of predicting heart disease using machine learning techniques. The prediction of the same, when accurate and early, can significantly improve ...
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