A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...
BACKGROUND: BCR-ABL tyrosine kinase inhibitors (TKIs) have been increasingly linked to pulmonary arterial hypertension (PAH) since 2009, although supporting evidence is limited. Our objective was to ...
Introduction Ischaemic heart disease (IHD) remains a leading cause of morbidity and mortality worldwide and poses an ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The student housing sector enters 2026 with a high degree of confidence. After several years of testing, marked by economic volatility, shifting renter sentiment and constrained capital, the sector ...
You can talk to the chatbot like it's a friendly acquaintance, and it'll help you get a lot done. Amanda Smith is a freelance journalist and writer. She reports on culture, society, human interest and ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
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