Exploring New Characteristics: Using Deep Learning and 3D Reconstruction to Compare the Original COVID-19 and Its Delta Variant Based on Chest CT.

Computer-aided diagnostic methods were used to compare the characteristics of the Original COVID-19 and its Delta Variant. This was a retrospective study. A deep learning segmentation model was applied to segment lungs and infections in CT.

Upregulated circular RNA circ_0016760 indicates unfavorable prognosis in NSCLC and promotes cell progression through miR-1287/GAGE1 axis.

Non-small cell lung cancer (NSCLC) is an aggressive malignancy with increasing worldwide incidence and is characterized by dismal prognosis due to its early recurrence and metastasis. Accumulating evidence documented that aberrantly expressed circular RNAs (circRNAs) are critically involved in tumorigenesis. In the current study, we focused on a novel circRNA, circ_0016760 in NSCLC.