Abstract Effectiveness of chemotherapy treatment for brain-related disorders is primarily limited by the difficulty these drugs have, in crossing the Blood-Brain Barrier (BBB). With the help of artificial intelligence, it is possible to predict the ability of a molecule or drug to cross the BBB, in silico. By initially predicting

Abstract The primary driver of female death remains breast cancer, highlighting the need for effective screening and accessible diagnostic tools. Digital hardware approaches have demonstrated strong performance but are constrained by high computational and energy demands, limiting their use in real-time portable devices. Analog Artificial Neural Networks (AANNs) offer advantages