A research team led by Mount Sinai has uncovered mechanisms of abnormal immune cell function that may lead to Crohn's disease ...

Researchers provide a conceptual overview of liver vasomics, including the classification of vascular phenotypes in the liver ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain ...

A research led by Sergio P. Acebrón, Researcher Ikerbasque at the UPV/EHU, develops a key tool to visualize the immune response to abnormal DNA, opening new avenues for the treatment of diseases.

Abstract: This study introduces an innovative approach for detecting abnormal behavior in real-time during the Hajj pilgrimage, utilizing the advanced capabilities of the YOLOv9 algorithm. Faced with ...

A fusion model based on the Temporal Convolutional Network-Transformer (TCN-Transformer) is proposed to identify abnormal operating states of transformers. Experiments were conducted using a 500 kV ...

In a complementary research paper, writing with the same scientists from Saudi Arabia, he led an international team of scientists from 13 countries who report in The American Journal of Human ...

I find the photo above to be interesting. It was shared as part of a January 7 presentation by Emily Lashbrooke, Executive Director of the Pagosa Springs Community Development Corporation (PSCDC) ...