Multiple Sclerosis

Multiple sclerosis (MS) is a chronic neurological disease characterized by lesions in the brain and spinal cord, and research focuses on improving diagnosis, monitoring disease progression, and predicting treatment response. Current research employs advanced machine learning techniques, including convolutional neural networks (CNNs), recurrent neural networks (RNNs like LSTMs), graph neural networks (GNNs), and generative adversarial networks (GANs), often incorporating multimodal data (MRI, EHR) and leveraging federated learning to address data scarcity and privacy concerns. These efforts aim to develop more accurate and efficient diagnostic tools, personalized treatment strategies, and a better understanding of disease mechanisms, ultimately improving patient outcomes and clinical decision-making.