Abstract: The technology disclosed relates to deep learning for four-dimensional (4D) modeling of glioblastoma multiforme with tumor treating fields (TTFields) therapy. In particular, the technology disclosed relates to a system comprising memory and a neural network processor. The memory stores input image data characterizing a current spatial distribution of glioblastoma multiforme (GBM). The current spatial distribution of the GBM is detected at a precursor examination of a patient receiving tumor treating fields (TTFields) therapy. The neural network processor, is in communication with the memory, and is configured to cause a neural network to process the input image data and, in response, generate output probability data characterizing a future spatial distribution of the GBM at a follow-up examination of the patient receiving the TTFields therapy. The neural network determines the future spatial distribution based in part on a time interval between the precursor examination and the follow-up examination.

Abstract: A fastener assembly having a receptacle attached to the underside of a first panel aligned with a first hole adapted to receive therein a threaded bolt extending through a second hole in a second panel. The holes are aligned and a spring-biased expandable bushing, associated with the receptacle, extends into the first hole receiving the bolt therethrough. When the bolt is threaded into the receptacle, the nut is drawn up, compressing the spring and biasing the bushing, expanding the same, completely, filling the first hole and providing a firm locking engagement therein.