With the rise in computing power, deep-learning based computer-aided diagnosis systems have gained interest in the research community. Our system process the images to assist doctors to determine whether the patients have nodules in lungs. Meanwhile, we utilized the Feature Pyramid Network to extend the receptive field on the convolutional kernel, which improved the performance on the nodule detection with various locations in CXR. The semi-supervised learning mechanism also achieves the way of soft-annotation to reduce human effort in medical image annotation.

This technology is a development drug lead aiming to meet the medical needs of patients with small cell lung cancer. Through disturbing MYC-Aurora A interaction and inducing degradation of MYC oncoprotein, this bioavailable kinase inhibitor could serve as a potential treatment entity for SCLC.

In the current of study, cell subsets, cell proportionsthe immune function of tumors-infiltrating leukocytes were used to indicate the features of tumor immune microenvironment in non-small cell lung cancers (NSCLCs) with different type of EGFR genetic alteration.