DETERMINING REGIONAL BRAIN GROWTH IN PREMATURE AND MATURE INFANTS IN RELATION TO AGE AT MRI USING DEEP NEURAL NETWORKS

Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks

Abstract Neonatal MRIs are used increasingly in preterm infants.However, it is not always feasible to analyze this data.Having a tool that assesses brain maturation during this period of extraordinary changes would be immensely helpful.Approaches based on deep learning approaches could solve this task since, once properly trained and validated, the

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Biomechanical Characterization of Endothelial Cells Exposed to Shear Stress Using Acoustic Force Spectroscopy

Characterizing mechanical properties of cells is important for understanding many cellular processes, such as cell movement, shape, and growth, as well as adaptation to changing environments.In this study, we explore the mechanical properties of endothelial NERVE PAIN RELIEF cells that form the biological barrier lining blood vessels, whose dysfunc

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