Biomarkers and their Role in Screening for Lung Cancer
Two of the principal components of treating lung cancer are screening and detection. In this blog post, I will be discussing how AI can be used to identify tumor progression, and the role that biomarkers play in lung cancer diagnosis. Histopathological images can provide scientists with information about the environment surrounding a tumor, also known as the microenvironment, which can have an impact on the tumor itself. The microenvironment of lung cancer consists of the tumor cells, lymphocytes, stromal cells, macrophages, and blood vessels. These components are all important factors for tumor progression and have differing effects on the outcome of the lung cancer patient. Researchers of one study created a type of deep learning model, a convolutional neural network, that had the ability to identify the differences between these components of the microenvironment of lung cancer using pathological images. This study was completed by removing small images of the cell nuclei which wer