Computational neuroscience as a tool for studying neurons.

Objectives: Computational neuroscience uses a neuron model to investigate the behavior of a neuron under different stimuli e.g. magnetic field.

Computational study of endogenous magnetic particles' effect on action potential processing in a Purkinje cell model.

Objectives: The study aims to investigate how changes in the conductance of axonal (Na+) and calcium (Ca2+) ion channels affect the generation, course, excitability and firing rate of action potentials in a model of Purkinje cell neurons.

Methods: The NEURON Simulator was utilized with a Purkinje cell model to investigate generation, time to first spike, firing rate and pattern of action potential (AP) as well as neuronal excitability in relation to the influence of magnetic field on axonal ion channels.

Results: The downregulation of axonal Na+ and Ca2+ conductance led to a significant delay in the generation of the first spike, with completely blocked action potential generation when downregulated by 75%.

Advances in Respiratory Monitoring: A Comprehensive Review of Wearable and Remote Technologies.

This article explores the importance of wearable and remote technologies in healthcare. The focus highlights its potential in continuous monitoring, examines the specificity of the issue, and offers a view of proactive healthcare. Our research describes a wide range of device types and scientific methodologies, starting from traditional chest belts to their modern alternatives and cutting-edge bioamplifiers that distinguish breathing from chest impedance variations.

The role of computed tomography pulmonary angiography in COVID-19 patients with suspected pulmonary embolism.

Objectives: This study is aimed to determine the location and distribution of pulmonary embolism (PE) and presence of signs potentially indicative of right heart overload on computed tomography pulmonary angiography (CTPA) in COVID-19 and non-COVID-19 patients. We also evaluated the extent and severity of COVID-19-associated lung changes in relation to PE.

Methods: The total number of 1,698 patients with CTPA included in the study were divided into 2 groups according to their COVID-19 status and each group was divided into 2 subgroups based on their PE status.

Traditional and deep learning-oriented medical and biological image analysis.

We investigated various methods for image segmentation and image processing for the segmentation of MRI of human medical data, as well as bioinformatics for the segmentation of brain cell details, in this work. The goal is to demonstrate and bring various mathematical analyses for medical and biological image analysis. We proposed new software and methods for improving the segmentation of biological and medical data.