A review of image processing and analysis of computed tomography images using deep learning methods.

The use of machine learning has seen extraordinary growth since the development of deep learning techniques, notably the deep artificial neural network. Deep learning methodology excels in addressing complicated problems such as image classification, object detection, and natural language processing. A key feature of these networks is the capability to extract useful patterns from vast quantities of complex data, including images.

A circuit that integrates drive state and social contact to gate mating.

Internal motive states, such as sexual arousal, drive behaviour in response to social cues. However, little is known about how internal states and external cues are integrated to release appropriate behaviours at the correct moment during a social interaction, such as the transition from the appetitive to the consummatory phases of mating. Here we identify a neural circuit in male mice that gates the onset of consummatory reproductive behaviours on contact with a mating partner.

Evaluation of whole blood CD64 for identifying infection in neonates receiving hospital care.

Introduction: Infection remains one of the most common causes of death in neonates. However, early detection of neonatal infections to inform treatment decisions remains clinically and technically challenging due to the non-specific nature of symptoms, and the lack of a sufficiently accurate diagnostic test. Neonatal infections and sepsis in adults have been associated with increased CD64 expression on neutrophils.