A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy.

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Abstract: In this work, the possibility of applying machine learning (ML) techniques to analyze and predict radio wave propagation losses in urban environments is explored. Thus, from a measurement ...

Abstract: This study develops an explainable machine learning framework for predicting e-commerce transaction volumes by integrating Light Gradient Boosting Machine (LightGBM), Permutation Feature ...

Acute sleep deprivation significantly impacts cognitive function, contributes to accidents, and increases the risk of chronic illnesses, underscoring the need for reliable and objective diagnosis. Our ...

In developing countries, the impact of significant events such as earthquakes, extreme weather, terrorist attacks, cyber incidents, or health emergencies can be more pronounced given the lack of ...

Explainable machine learning (ML) is important for biosignature prediction on future astrobiology missions to minimize the risk of false positives due to geochemical biotic mimicry and false negatives ...

These next few days will be relentless for the Minnesota Vikings’ front office and coaching staff. There is a lot to sort through. They need at least one receiver. The kick returner and punt returner ...