Generative-Adversarial-Network-Based Image Reconstruction for the Capacitively Coupled Electrical Impedance Tomography of Stroke.

This study investigated the potential of machine-learning-based stroke image reconstruction in capacitively coupled electrical impedance tomography. The quality of brain images reconstructed using the adversarial neural network (cGAN) was examined. The big data required for supervised network training were generated using a two-dimensional numerical simulation.

Image Reconstruction Using Supervised Learning in Wearable Electrical Impedance Tomography of the Thorax.

Electrical impedance tomography (EIT) is a non-invasive technique for visualizing the internal structure of a human body. Capacitively coupled electrical impedance tomography (CCEIT) is a new contactless EIT technique that can potentially be used as a wearable device. Recent studies have shown that a machine learning-based approach is very promising for EIT image reconstruction.

EXPRESSION OF PROGRAMMED CELL DEATH RECEPTOR IN ENDOMETRIAL CANCER PATIENTS WITH METABOLIC DISORDERS.

Aim: To study the expression of the programmed cell death receptor (PD-1) and its ligand (PD-L1) by immunocompetent cells in endometrial cancer patients with metabolic disorders.

Materials And Methods: Populations and subpopulations of lymphocytes were analyzed by flow cytometry. Antibodies against CD279 were used to detect PD-1 on the CD4+ and CD8+ T cells.

Silicon-zinc-glycerol hydrogel, a potential immunotropic agent for topical application.

Nanoparticles synthesized using sol-gel method are promising agents for biomedical applications, in particular for the therapy and diagnosis of various diseases. Using silicon and zinc glycerolates as biocompatible precursors we synthesized by the sol-gel method a new bioactive silicon-zinc-containing glycerohydrogel combining the positive pharmacological properties of the precursors. In the present work the structural features of silicon-zinc-containing glycerohydrogel and its immunotropic properties were studied.

Features of silicon- and titanium-polyethylene glycol precursors in sol-gel synthesis of new hydrogels.

The formation of organic/inorganic hydrogels based on silicon and titanium polyethylene glycolates, new biocompatible water-soluble precursors in sol-gel processing, was investigated. The influence of different factors on the gelation process, such as excess of PEG, water molar content, pH of medium, electrolyte additives, was investigated in comparison with silicon- and titanium-glycerol precursors. The specific features of gelation for each type of precursor were revealed.