Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes.

Depression is a common mental health disorder and a leading contributor to mortality and morbidity. Despite several advancements, the current screening methods have limitations in enabling the robust and automated detection of depression, thereby hindering early diagnosis and timely intervention. This study aimed to develop explainable artificial intelligence (AI) models to predict depression using polysomnographic phenotype data, ensuring high predictive performance while providing clear insights into the importance of features influencing the risk of depression.

Computational insights into fucoidan-receptor binding: Implications for fucoidan-based targeted drug delivery.

Fucoidan, a polysaccharide from seaweed, holds promise as a drug delivery system and immune modulator; however, its exact mechanism of action remains unclear. As various carbohydrates play key roles in immune responses by binding to carbohydrate-binding proteins like lectins, fucoidan is hypothesized to interact with immune receptors, potentially driving its anticancer activities. However, structural variability, extraction-induced heterogeneity, and weak binding affinities pose challenges to research.

The ataxia-telangiectasia disease protein ATM controls vesicular protein secretion via CHGA and microtubule dynamics via CRMP5.

The autosomal recessive disease ataxia-telangiectasia (A-T) presents with cerebellar degeneration, immunodeficiency, radiosensitivity, capillary dilatations, and pulmonary infections. Most symptoms outside the nervous system can be explained by failures of the disease protein ATM as a Ser/Thr-kinase to coordinate DNA damage repair. However, ATM in adult neurons has cytoplasmic localization and vesicle association, where its roles remain unclear.

Macrophage membrane coated discoidal polymeric particles for evading phagocytosis.

Unlabelled: The purpose of this study was to investigate the potential of discoidal polymeric particles (DPPs) coated with macrophage membranes as a novel drug delivery system. The study aimed to determine whether these coated particles could reduce phagocytosis, and target specific organs, thereby enhancing drug delivery efficacy. In this study, discoidal polymeric particles (DPPs) were synthesized by a top-down fabrication method serving as the core drug delivery platform.