Researchers have classified tumors into three growth patterns: destructive, alveolar and papillary. This is useful in patients undergoing operations. Classifying non-small cell lung tumors by growth ...

In recent years, the number of people worldwide who are dissatisfied or anxious about their sleep has been increasing due to the diversification of lifestyles. Simple sleep measurement and ...

CORONADO, Calif. — Classifying non-small cell lung tumors by growth patterns had a strong predictive value for measures of survival. Growth pattern refers to the tumor growth in relation to normal ...

A research group found that the human sleep patterns could be classified into 16 types by combining ACCEL, their original machine learning algorithm for sleep-wake classification, the dimension ...