This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

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.

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Abstract: Multi-label emotion classification (MLEC) for low-resource languages like Arabic faces significant challenges due to class imbalance and label correlations, particularly in accurately ...

This research initiative highlights practical AI and business analytics for decision support across infrastructure, ...

Abstract: The analysis of WSI categories in digital pathology is critical for clinician decision making regarding the diagnosis, treatment, and prognosis of cancer patients. However, current automated ...