A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

Researchers evaluated the impact of the timing of COVID-19 infection during pregnancy on both maternal illness severity and pregnancy outcomes.

Background Numerous studies have found associations between parental socio-economic position (SEP) and offspring asthma.

A research team at Uppsala University has identified a clear link between osteomalacia—a form of bone softening commonly ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Yuqin Fang et al conducted a study to evaluate risk factors and clinical outcomes in patients with reduction loss after ...

Familial clustering was identified in primary hyperparathyroidism, as first-degree relatives were at higher risk than control patients.

Specialty drugs, often used to treat complex conditions such as cancer or rare diseases, are among the most expensive treatments on the market. To make these drugs more affordable for payers, ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

A research team at Uppsala University has identified a clear link between osteomalacia – a form of bone softening commonly ...

Unlike conventional sustainability audits, which require time-consuming data collection and hardware deployment, this ...