Abstract: Early diagnosis of breast cancer does not only increase the chances of survival but also control the diffusion of cancerous cells in the body. Previously, researchers have developed machine learning algorithms in breast cancer diagnosis such as Support Vector Machine, K-Nearest Neighbor, Convolutional Neural Network, K-means, Fuzzy C-means, Neural Network, Principle Component Analysis (PCA) and Naive Bayes. Unfortunately these algorithms fall... More

Abstract: Aim: To investigate the in vitro structure-activity relationship (SAR) of a range of tetrahydrocannabinolic (THCA) and cannabidiolic (CBDA) derivatives using the PANC-1 tumor cell line (pancreas, ductal carcinoma). Materials and methods: The in vitro effects of a range of THCA and CBDA derivatives with different carbonyl group substituents were tested on the PANC-1 cells cell line using the CellTiter Glo Viability Assay (72 hours) and the XTT... More