218 results match your criteria: "Institute of Cybernetics[Affiliation]"

The rapid progress in nanotechnology has introduced multifunctional iron oxide nanoparticles as promising agents in cancer treatment. This research focused on the synthesis and assessment of citric-acid-coated, folic-acid-conjugated nanoparticles loaded with doxorubicin, evaluating their therapeutic potential in tumor models. An advanced automated continuous technology line (CTL) utilizing a controlled co-precipitation method was employed to produce highly dispersive, multifunctional nanofluids with a narrow size distribution.

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Background: Imaging plays an important role in the identification of prostate cancer (PCa). However, a shortcoming of the current imaging techniques is their inability to detect PCa at an early stage of development when tumor volume is small. This led us to explore new and improved imaging methods.

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Article Synopsis
  • Modern AI solutions struggle with the "black box" nature of deep learning models, particularly in critical medical applications where transparency is essential.
  • This study introduces a scalable method using a transition matrix to make deep learning model decisions more interpretable, integrating clinical guidelines and expert rules to ensure alignment with medical standards.
  • Tested on ECG and MRI datasets, the approach showed high agreement with expert annotations (0.89 for ECG and 0.80 for MRI), proving its reliability and potential for broader use in various medical fields.
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Background: Magnetocardiography undoubtedly has exceptionally high sensitivity to electrophysiological changes in the myocardium. This is an absolutely non-invasivemethod with no contraindications. However, several barriers exist to the widespread adoption of this technique into clinical routine.

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Article Synopsis
  • - Tree bark beetle infestations threaten forests by harming biodiversity, carbon storage, and timber resources, highlighting the need for early detection and improved forest management practices.
  • - An innovative intelligent system using multispectral images and generative-adversarial networks (GANs) was developed to assess bark beetle damage, achieving a classification accuracy of 87.5% while reducing reliance on large labeled datasets.
  • - The research has important implications for forestry management and ecosystem preservation, emphasizing the need for responsible implementation, integration with traditional ecological knowledge, and addressing potential risks like data misinterpretation and privacy concerns.
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Objectives We evaluated the safety, immunogenicity and efficacy of Abdala, a protein subunit vaccine for 2019 coronavirus disease (COVID-19), in children and adolescents. Methods A phase 2, open-label, single-arm clinical trial was carried out. Subjects aged 3 to 18 years were eligible.

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How international organizations can support the development of cardio-oncology in the Latin American and the Caribbean region.

Eur Heart J Imaging Methods Pract

January 2024

Nuclear Medicine and Diagnostic Imaging Section, Division of Human Health, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.

Health problems in the Latin American and the Caribbean (LAC) region are highly concentrated on non-communicable diseases, being cardiovascular diseases (CVDs) and cancer the leading causes of death. Different countries of the region are at different stages of development in addressing CVDs and cancer. Opportunities for training and continuing education in cardio-oncology, as well as active cardio-oncology groups, are primarily limited to large academic institutions in major metropolitan areas.

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Purpose: The primary objective of this study was to develop and implement a Hybrid Cloud Environment for Telerehabilitation (HCET) to enhance patient care and research in the Physical Medicine and Rehabilitation (PM&R) domain. This environment aims to integrate advanced information and communication technologies to support both traditional in-person therapy and digital health solutions.

Background: Telerehabilitation is emerging as a core component of modern healthcare, especially within the PM&R field.

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The Geometry of Normal Tissue and Cancer Gene Expression Manifolds.

Acta Biotheor

July 2024

Department of Theoretical Physics, Institute of Cybernetics, Mathematics and Physics, 309 E Street, 10400, Vedado, Havana, Cuba.

A recent paper shows that in gene expression space the manifold spanned by normal tissues and the manifold spanned by the corresponding tumors are disjoint. The statement is based on a two-dimensional projection of gene expression data. In the present paper, we show that, for the multi-dimensional vectors defining the centers of cloud samples: 1.

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Objective: This study tested the hypothesis that a neuroprotective combined therapy based on epidermal growth factor (EGF) and growth hormone-releasing hexapeptide (GHRP6) could be safe for acute ischemic stroke patients, admitting up to 30% of serious adverse events (SAE) with proven causality.

Methods: A multi-centric, randomized, open-label, controlled, phase I-II clinical trial with parallel groups was conducted (July 2017 to January 2018). Patients aged 18-80 years with a computed tomography-confirmed ischemic stroke and less than 12 h from the onset of symptoms were randomly assigned to the study groups I (75 μg rEGF + 3.

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Purpose: This article aims to provide an in-depth examination of the digital health system of Ukraine, focusing on the emerging trends, precise definitions, established standards, and recent legislative revisions that shape the practice and implementation of eHealth solutions within the country.

Background: The digital health landscape in Ukraine has witnessed significant transformations, especially in the wake of the COVID-19 pandemic and subsequent military conflicts. These events have catalyzed the expansion of telemedicine services, leading to innovative approaches in healthcare delivery.

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Development of in situ high resolution NMR: Proof-of-principle for a new (spinning) cylindrical mini-pellet approach applied to a Lithium ion battery.

Solid State Nucl Magn Reson

February 2024

Laboratory of Spin Design, Institute of Cybernetics, Tallinn University of Technology, Ehitajate Tee 5, 19086, Tallinn, Estonia; Helmholtz-Institute Ulm for Electrochemical Energy Storage (HIU), Helmholtzstr. 11, 89081, Ulm, Germany; Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), POB 3640, 76021, Karlsruhe, Germany; Institute of Quantum Optics, University Ulm, Albert-Einstein-Allee 11, 89081, Ulm, Germany. Electronic address:

Solid-state nuclear magnetic resonance (ssNMR) spectroscopy is a powerful technique for characterizing the local structure and dynamics of battery and other materials. It has been widely used to investigate bulk electrode compounds, electrolytes, and interfaces. Beside common ex situ investigations, in situ and operando techniques have gained considerable importance for understanding the reaction mechanisms and cell degradation of electrochemical cells.

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Background: NeuroEPO plus is a recombinant human erythropoietin without erythropoietic activity and shorter plasma half-life due to its low sialic acid content. NeuroEPO plus prevents oxidative damage, neuroinflammation, apoptosis and cognitive deficit in an Alzheimer's disease (AD) models. The aim of this study was to assess efficacy and safety of neuroEPO plus.

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This Letter to the Editor provides an update on the research from the Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine. The Institute's research team in collaboration with Ternopil National Medical University began a new project called "Development of the cloud-based platform for patient-centered telerehabilitation of oncology patients with mathematical-related modeling." The project is dedicated to the development of a hybrid cloud-based platform, and the creation on its basis of information technology for the telemedicine rehabilitation of cancer patients, and adapted for patients with combat stress disorder.

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This Letter to the Editor provides an update on the research from the Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine. The Institute's clinical research team is currently rehabilitating the military personnel of the Defense Forces of Ukraine with combat stress reaction and post-traumatic stress disorder using hybrid e-rehabilitation methods and techniques. Current research in the field of digital health and IoMT in Ukraine is creating innovative information technology for computerized electrocardiography.

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We study the nematic-to-isotropic phase transitions in thin slabs of nematic liquid crystals with photopatterned director fields of topological defect arrays at constant heating rates and show that the transition kinetics is significantly impacted by both the heating rate and the topological strengths of these defects. Specifically, with ±1/2 defect arrays, the isotropic domains emerge from the defect cores when the heating rate is high, while from random places when the heating rate is low. With ±1 defect arrays, the isotropic domains always emerge from the defect cores regardless of the heating rate.

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Objective: The aim: To evaluate the functioning of the autonomic nervous system in combatants, the relationship between the heat rate variability (HRV) and ques¬tionnaire indicators, to improve the diagnosis of post-traumatic stress disorder (PTSD) and to evaluate the effectiveness of Transcendental Meditation (TM).

Patients And Methods: Materials and methods: 57 combatants and 30 civilians, with registering ECG and HRV-analysis, self-questionnaire testing.

Results: Results: The combatants' group showed an increase in heart rate, in the degree of centralisation of heart rate control and the R.

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Introduction: In the principles of the organization of armed struggle of the defense forces of most developed countries of the world, considerable attention is paid to the evaluation of combat readiness of the military personnel. This procedure is conditioned by such interconnected goals of the armed struggle as the maximum realization of the combat potential and the minimization of personnel losses. The purpose of the work is to determine the physiological cost of the activities of the soldiers of the Defense Forces of Ukraine with the help of miniature electrocardiographic hardware and software complexes.

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The NMR spectra of side-chain protons in proteins provide important information, not only about their structure and dynamics, but also about the mechanisms that regulate interactions between macromolecules. However, in the solid-state, these resonances are particularly difficult to resolve, even in relatively small proteins. We show that magic-angle-spinning (MAS) frequencies of 160 kHz, combined with a high magnetic field of 1200 MHz proton Larmor frequency, significantly improve their spectral resolution.

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Background: COVID-19 in paediatric ages could result in hospitalizations and death. In addition, excluding children from vaccination could turn them into reservoirs of the SARS-COV-2. Safe and effective COVID-19 vaccines are urgently needed for large-scale paediatric vaccination.

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In this study, we investigated the cytotoxicity of doxorubicin (DOX)-loaded magnetic nanofluids on 4T1 mouse tumor epithelial cells and MDA-MB-468 human triple-negative breast cancer (TNBC) cells. Superparamagnetic iron oxide nanoparticles were synthesized using sonochemical coprecipitation by applying electrohydraulic discharge treatment (EHD) in an automated chemical reactor, modified with citric acid and loaded with DOX. The resulting magnetic nanofluids exhibited strong magnetic properties and maintained sedimentation stability in physiological pH conditions.

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Dynamic models of epidemiology in discrete time taking into account processes with lag.

Int J Dyn Control

March 2023

Prydniprovska Academy of Civil Engineering and Architecture, Dnipro, Ukraine.

Models of epidemic dynamics in the form of systems of differential equations of the type SIR and its generalizations, for example SEIR and SIRS, have become widespread in epidemiology. Their coefficients are averages of some epidemic indicators, for example the time when a person is contagious. Statistical data about spreading of the epidemic are known in discrete periods of time, for example twenty-four hours.

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Variants of the Stochastic Sir Models and Vaccination Strategies.

Cybern Syst Anal

April 2023

V. M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine.

Several options of the stochastic SIR epidemics model with limited treatment are proposed. For these methods, the efficiency of different vaccination strategies is demonstrated, and a method for obtaining the optimal vaccination strategy minimizing the cost functional is proposed.

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One of the most effective solutions in medical rehabilitation assistance is remote patient / person-centered rehabilitation. Rehabilitation also needs effective methods for the "Physical therapist - Patient - Multidisciplinary team" system, including the statistical processing of large volumes of data. Therefore, along with the traditional means of rehabilitation, as part of the "Transdisciplinary intelligent information and analytical system for the rehabilitation processes support in a pandemic (TISP)" in this paper, we introduce and define: the basic concepts of the new hybrid e-rehabilitation notion and its fundamental foundations; the formalization concept of the new Smart-system for remote support of rehabilitation activities and services; and the methodological foundations for the use of services (UkrVectōrēs and vHealth) of the remote Patient / Person-centered Smart-system.

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Hyperspectral imaging of lipids in biological tissues using near-infrared and shortwave infrared transmission mode: A pilot study.

J Biophotonics

July 2023

Shenzhen Key Laboratory of Photonics and Biophotonics, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, People's Republic of China.

Label-free hyperspectral imaging (HSI) of lipids was demonstrated in the near-infrared (NIR) and shortwave infrared (SWIR) regions (950-1800 nm) using porcine tissue. HSI was performed in the transmission light-pass configuration, using a NIR-SWIR camera coupled with a liquid crystal tunable filter. The transmittance spectra of the regions of interest (ROIs), which correspond to the lipid and muscle areas in the specimen, were utilized for the spectrum unmixing.

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