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.

Researchers affiliated with Houston’s Methodist Hospital, Department of Otolaryngology, examined the link between recreational cannabis use and sinon | Cannabis Sciences ...

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

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 ...

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

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

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

Vaping-related disorder is rare in patients with chronic lung disease but is also associated with a much higher likelihood of mortality.

Interactions between genetic loci might reduce the power to detect genetic effects in genetic association studies, if these interactions are not allowed for. Statistical interaction corresponds to a ...

Physical therapy is routinely recommended for knee pain attributed to a degenerative meniscal tear, but its efficacy has not ...