Researchers have demonstrated the feasibility of a morphological-based approach to interpreting spatial transcriptomic (ST) data, helping to improve understanding of the lesions that occur in chronic kidney disease (CKD), at both the cellular and molecular levels. A recent study in The American Journal of Pathology, published by Elsevier, details how this new method could lead to the identification of new biomarkers and therapeutic strategies for patients.

Ballbots are versatile robotic systems with the ability to move around in all directions. This makes it tricky to control their movement. In a recent study, a team including a researcher from Shibaura Institute of Technology, Japan, has proposed a novel proportional integral derivative controller that, in combination with radial basis function neural network, robustly controls ballbot motion. This technology is expected to find applications in service robots, assistive robots, and delivery robots.