Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
IEEE

Research on Reactive Voltage Optimization in Distribution Networks Using Graph Neural Network-Based Reinforcement Learning

Abstract: With the increasing integration of distributed renewable energy, distribution networks are facing increasingly severe issues such as voltage violations and increased network losses. Although ...