HCA Healthc J Med
December 2024
Background: Hemophagocytic lymphohistiocytosis (HLH) is an immunologic syndrome characterized by excessive inflammation and tissue injury due to uncontrolled activation of the phagocytic system. The underlying mechanism is a lack of downregulation of activated macrophages and lymphocytes by natural killer and T cells. Unfortunately, the diagnosis is often delayed or missed due to the rarity of the disease, decreased awareness, and clinical picture variability.
View Article and Find Full Text PDFAim: To develop pH (pHe)-triggered membrane adhesive nanoliposome (pHTANL) of CD40a to enhance anti-tumor activity in pancreatic cancer while reducing systemic toxicity.
Materials And Methods: A small library of nanoliposomes (NL) with various lipid compositions were synthesized to prepare pH (pHe)-triggered membrane adhesive nanoliposome (pHTANL). Physical and functional characterization of pHTANL-CD40a was performed via dynamic light scattering (DLS), Transmission Electron Microscopy (TEM), confocal microscopy, and flow cytometry.
Machine learning approaches including deep learning models have shown promising performance in the automatic detection of Parkinson's disease. These approaches rely on different types of data with voice recordings being the most used due to the convenient and non-invasive nature of data acquisition. Our group has successfully developed a novel approach that uses convolutional neural network with transfer learning to analyze spectrogram images of the sustained vowel /a/ to identify people with Parkinson's disease.
View Article and Find Full Text PDFDifferent neuron types develop characteristic axonal and dendritic arborizations that determine their inputs, outputs, and functions. Expression of fate-determinant transcription factors is essential for specification of their distinct identities. However, the mechanisms downstream of fate-determinant factors coordinating different aspects of neuron identity are not understood.
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