Precision targeting of the centromedian nucleus in drug-resistant epilepsy highlighted in brain network disorders
Peer-Reviewed Publication
Updates every hour. Last Updated: 16-Jan-2026 03:11 ET (16-Jan-2026 08:11 GMT/UTC)
Brain cancer remains one of the deadliest cancers, with limited treatment options and poor outcomes. In this review, researchers explore how nuclear receptors (NRs) influence brain tumor growth, invasion, and treatment resistance. The article details specific roles of different NRs and discusses how targeting them with drugs could improve therapy. These findings offer a promising direction for developing more precise, effective treatments against this highly aggressive and treatment-resistant cancer type.
Researchers from The Hong Kong University of Science and Technology and the Southern University of Science and Technology have developed a novel deep learning neural network, Electrode Net. By introducing signed distance fields and three-dimensional convolutional neural networks, this method can significantly accelerate electrode design while maintaining high accuracy. It is widely applicable to fuel cells, water electrolyzers, flow batteries, etc.