| AgeFlex - Development and standardization of MR-based methods for detecting and evaluating metabolic and structural adaptations of aging muscles to exercise. |
| Vývoj a štandardizácia MR metód založených na magnetickej rezonancii na detekciu a hodnotenie metabolických a štrukturálnych adaptácií starnúcich svalov na cvičenie. |
| Program: | SRDA |
| Project ID: | 28210020 |
| Duration: | 1.9.2025 - 31.8.2029 |
| Project leader: | Mgr. Klepochová Radka, PhD. |
| Annotation: |
Aging is associated with a loss of muscle mass and the functional capacity of skeletal muscles; however, regular exercise can slow down these processes. The focus of this project is on examining the metabolic, functional, and structural parameters in the lower limb muscles, which we can non-invasively and repeatedly measure using innovative magnetic resonance methods (MR). This allows us to compare the trajectories of aging in skeletal muscles of sedentary individuals and those who are physically active. One of the key parameters that define a muscle\'s ability to efficiently mobilize and use energy for muscle work is called metabolic flexibility. The aim of the project is to develop innovative MR methods to study metabolic flexibility and structural changes in skeletal muscles during aging, and relate them to whole-body metabolic flexibility, as well as the metabolic phenotype and structural and molecular changes in the skeletal muscles of older adults. As part of the project, we will standardize the measurement of dynamic changes in metabolites in muscle during exercise using proton (1H) MR spectroscopy, create standard procedures for quality control of acquired MR spectroscopy data, and a key aspect of the project will also be the development of an automated segmentation method based on a convolutional neural network, which will enable more efficient and reliable evaluation of MR images of skeletal muscles. These innovative methods will be validated using data from ongoing longitudinal studies at the Biomedical Center of the Slovak Academy of Sciences, and their results will be directly compared with parallel changes in metabolic health, functional capacity, histological structure, and molecular mediators of metabolic flexibility in skeletal muscles. The results may not only improve our understanding of the processes that define metabolic flexibility during aging but may also offer relevant strategies to support metabolically healthy aging. |
| Characteristic function-based goodness-of-fit test for fuzzy data with application to climate analysis |
| Testy dobrej zhody založené na charakteristickej funkcii pre neurčité údaje s aplikáciou na analýzu klimatických dát |
| Program: | SRDA |
| Project ID: | SK-MNE-25-0025 |
| Duration: | 1.1.2026 - 31.8.2028 |
| Project leader: | Doc. RNDr. Witkovský Viktor, CSc. |
| Annotation: |
Modern research faces growing data uncertainty from measurement errors, gaps, and subjective assessments. Traditional statistical methods, assuming precise data, often fail under such conditions. Fuzzy data, which capture vagueness and imprecision, offer a natural framework, yet robust statistical tools for them remain scarce. This interdisciplinary project — combining probability and mathematical statistics, applied mathematics, and measurement science — aims to develop a goodness-of-fit test based on characteristic functions for fuzzy and interval-valued data. This novel methodology addresses both theoretical and applied challenges, with a focus on climate analysis. Objectives include: (1) Developing theoretical and empirical characteristic functions for fuzzy data, defining distance measures, formulating the test, and deriving its statistical properties. (2) Designing and implementing efficient algorithms in R, MATLAB, or Python. (3) Evaluating performance through simulations and benchmarking against existing methods. (4) Applying the method to real climate datasets (e.g., temperature, rainfall) to demonstrate its relevance under uncertainty. The methodology leverages the uniqueness and computational benefits of characteristic functions, extended to fuzzy settings. The project innovatively integrates characteristic functions and fuzzy theory for hypothesis testing, providing a statistically rigorous yet practical approach to imprecise data analysis. Expected outcomes include: a new statistical test, open-source software, simulation and benchmark studies, case studies on climate data, and preparation of a publication in leading journal. This bilateral project brings together expertise in fuzzy theory (University of Montenegro) and measurement science (Institute of Measurement Science of the Slovak Academy of Sciences). |
| ReAcMap - Assessment of restitution of normal ventricular activation by ECG mapping |
| Vyhodnotenie reštitúcie normálnej komorovej aktivácie pomocou EKG mapovania |
| Program: | SRDA |
| Project ID: | APVV-24-0414 |
| Duration: | 1.9.2025 - 31.8.2028 |
| Project leader: | Ing. Švehlíková Jana, PhD. |
| Annotation: |
The project intends to optimize and personalize cardiac resynchronization therapy (CRT) for patients with heart failure. This effective, nonpharmacological, pacing-based treatment aims to restore interventricular resynchronization of ventricular activation by pacing both ventricles with an expected subsequent increase in cardiac output. However, about 30-40% of the patients do not benefit from the therapy and are designed as “non-responders”. To improve the efficacy of ventricular resynchronization, conduction system pacing (CSP) was recently introduced into clinical practice, which replaces biventricular stimulation with direct stimulation of the conduction system. However, CSP to achieve a narrow QRS complex is not feasible in up to 15% of patients for multiple anatomical, pathological, and technical reasons. Therefore, an optimal individualized strategy to achieve effective ventricular resynchronization is an unmet need in electrical therapies in heart failure patients. The proposed research project is methodologically based on noninvasive body surface potential ECG measurements of patients with heart failure indicated for a CRT/CSP device implantation. From the measured data, conducted using a dedicated in-house measuring device, the new parameters for the evaluation of the dynamics of the ventricular activation will be derived to set the proper programming stimulation of the device. A possible reduction of the number of ECG electrodes from the currently used 128 will also be studied to facilitate the routine clinical feasibility of the recording system. The simulations of the failing heart will be performed to understand better the processes that are undergoing in the ventricles. The area of the starting spontaneous ventricular activity will be assessed by solving the inverse problem of electrocardiography using a personalized heart-torso model obtained from the CT scan. The dedicated measuring system will implement a GUI to apply the suggested methods easily. |
| Project website: | https://www.um.sav.sk/reacmap/ |
| OrgPipeSK2025 - Research of the metal organ pipe collections of historical pipe organs in Slovakia |
| Výskum kovového píšťalového fondu historických organov na Slovensku |
| Program: | SRDA |
| Project ID: | APVV-24-0659 |
| Duration: | 1.9.2025 - 31.8.2028 |
| Project leader: | RNDr. Krafčík Andrej, PhD. |
| Annotation: |
The sound-stylistic quality of historical organs is determined by various factors, including the material used for the organ pipes and the scaling (mensuration) of individual pipes and entire stops. The proposed project will examine organ metal as a key sound-stylistic determinant of historical organs, with consideration of the constructional evolution of organs in Slovakia from the 17th to the 20th century. The project will be conducted in four phases. The first phase will focus on the chemical composition analysis of organ pipe metal from selected instruments. These pipes and entire stops will undergo mensuration analysis, leading to the development of a mathematical model. The next phase will involve the visual recording (collection) of signings—etched or stamped markings indicating the specific tone for which a pipe is constructed. The signings of pipes from instruments with known builders will be documented to create a standard that will enable the use of neural networks (AI) to identify the authorship of organs whose builders are currently unknown. The research will also address the technical condition of organ metal, particularly corrosion, which affects not only the sound properties but also the preservation of the metal components of these historical instruments. The project\'s outcomes will include an online map of organ metal composition, corrosion, mensurations, an atlas of various types of corrosion and defects in organ pipes, as well as a comprehensive mapping of the metal and mensurations of studied stops. Furthermore, we will establish a method for gradually authorizing organs whose builders remain unidentified. All findings will be contextualized within the sound-stylistic development of historical organ building on Slovak territory. |
| ARAM - Research of reference standards and measurement methods ensuring determination of the relationship of geometric specifications and qualitative indicators of 3D objects created by additive technologies |
| Výskum referenčného etalónu a meracích metód zabezpečujúcich určenie vzťahu geometrických špecifikácií a kvalitatívnych ukazovateľov 3D objektov vytvorených aditívnymi technológiami |
| Program: | SRDA |
| Project ID: | APVV-23-0366 |
| Duration: | 1.7.2024 - 31.12.2027 |
| Project leader: | RNDr. Hain Miroslav, PhD. |
| Annotation: |
The present project is aimed at evaluating the quality of additive manufacturing, a reference test artefact designed and developed for this purpose. The development of the reference artefact and the quantification of its parameters will make use of the latest knowledge in additive manufacturing, state-of-the-art measurement strategies implemented using X-ray microtomography, magnetometry, coordinate measuring devices, optical and electron scanning microscopes and methods of mathematical-statistical processing of measured data. Additive manufacturing technologies are capable of producing parts with very complex geometries that conform to the desired design without further machining. It is for this reason that they are very promising and their use in industry is growing. In order for additive manufacturing products to fully replace conventionally machined parts, they must meet the required quality criteria such as shape and dimensional accuracy, surface roughness, internal defects, residual stresses, etc. The final quality of parts produced by additive manufacturing technology is influenced by the characteristics of the raw material and the parameters and settings of the system. The aim of the project is to investigate the production of modified monofilaments and the measurement methods necessary for the realization of a stable and reproducible reference test artifact, which would be used to assess not only the geometric capability of additive manufacturing systems but also the internal structure and selected properties of the final product. |
| ITAGES - Identification of stress-induced alterations in expression of NRF2 target genes in rat models of prehypertension: the effect of comorbid hypertriglyceridemia and dimethyl fumarate treatment |
| Identifikácia stresom vyvolaných zmien v expresii cieľových génov NRF2 v potkaních modeloch prehypertenzie: vplyv komorbidnej hypertriglyceridémie a liečby dimetylfumarátom |
| Program: | SRDA |
| Project ID: | APVV-22-0296 |
| Duration: | 1.7.2023 - 30.6.2027 |
| Project leader: | Ing. Maňka Ján, CSc. |
| Annotation: |
The nuclear transcription factor erythroid 2-related factor 2 (NRF2) is a key molecular link between several non-communicable diseases, as it regulates the expression of approximately 250 target genes, including those involvedin maintenance of redox balance, the development of metabolic disorders, cardiovascular and liver diseases, aswell as in immune responses. Borderline elevated blood pressure (prehypertension) is a common cardiovasculardisorder in humans, and elevated blood pressure has been found to be positively correlated with triglyceride levels.In addition, chronic stress is an etiological factor in the development of non-communicable diseases, includingelevated blood pressure and hypertriglyceridemia (HTG). In experimental studies, borderline hypertensive rats(BHR) and hypertriglyceridemic rats (HTGR) are suitable models of prehypertension without and with comorbidhypertriglyceridemia. These models are relevant for investigating the effects of stress as well as for investigatingthe role of changes in expression of NRF2 target genes in the development of hypertension associated withmetabolic diseases. To understand better the role of NFR2 as well as the impact of chronic social stress on thementioned diseased states, the aims of this project are: 1) to identify differences in expression of NRF2 targetgenes in two experimental models of prehypertension - without (in BHR) and with (in HTGR) comorbid HTG - incontrol conditions and during chronic social stress, 2) to determine if NRF2 activator dimethyl fumarate can reducestress-induced pathologies in prehypertensive rats, especially in those with comorbid HTG, and 3) to specify a setof suitable whole blood RNA biomarkers for evaluation of changes in NRF2 target genes in prehypertension andHTG and those genes altered by chronic social stress. |
| METIM - Design of a Methodology and its Verification for the Measurement of Selected Parameters of Ti Implants in the Manufacturing Process |
| Návrh metodiky a jej overenie pre meranie vybraných parametrov Ti implantátov vo výrobnom procese |
| Program: | SRDA |
| Project ID: | APVV-22-0328 |
| Duration: | 1.7.2023 - 30.6.2027 |
| Project leader: | RNDr. Hain Miroslav, PhD. |
| Annotation: |
The project focuses on the development and application of measurement and non-destructive testing methods inthe manufacturing of titanium dental implants. Dental implants are medical devices that have to comply with thetechnical requirements given by regulation of the European Parliament and Council EU 2017/745 from 5 Apr 2017.Under this regulation, among other obligations, the manufacturer must ensure that these devices are safe andeffective and do not compromise the clinical condition or patients safety. The dental implants should also meet ahigh level of health and safety protection, taking into account the generally accepted state of the art in science andtechnology. In this project we will address the requirements related to the design and manufacturing and inparticular: the compatibility of the different parts of the device, the influence of processes on the properti es of thematerials, the mechanical properties of the materials used such as strength, ductility, resistance to wear andfatigue, the properties of the surfaces, and confirmation that the device meets all defined physical specifications aswell as the identification of contaminants in the manufacturing process. To ensure these requirements, we intend touse state-of-the-art measurement methods such as X-ray microtomography (microCT), scanning electronmicroscopy (SEM), optical measurement of surface roughness, SQUID magnetometry. Since the abovemeasurement methods are time consuming and do not allow their full application in the production, the solution willalso include the design of effective methods of statistical quality control, which will be applied at the manufacturerof dental titanium implants MARTIKAN, s.r.o. The objectives of the proposed project correlate with the Researchand Innovation Strategy for Smart Specialisation of the Slovak Republic 2021-2027 (SK RIS3 2021+), while theyaffect two defined domains, namely Innovative Industry for the 21st Century and Healthy Society. |
| FERINO - Advanced diagnostics of neurodegenerative disorders using magnetic resonance techniques and artificial intelligence |
| Pokročilá diagnostika neurodegeneratívnych ochorení pomocou techník magnetickej rezonancie a umelej inteligencie |
| Program: | SRDA |
| Project ID: | APVV-22-0122 |
| Duration: | 1.7.2023 - 30.6.2027 |
| Project leader: | Ing. Gogola Daniel, PhD. |
| Annotation: |
Neurodegenerative diseases (ND) are becoming a severe problem in developed countries. Since we currently haveno effective therapies available, early diagnosis is critical to ensure a good quality of life for ND patients. ND arecharacterized by iron accumulation and magnetite mineralization in brain tissue, with ferritin as a precursor. Due toits low relaxivity, physiological ferritin is at the edge of visibility using magnetic resonance imaging (MRI)techniques. On the contrary, "pathological" ferritin causes a significant shortening of MRI relaxation times. Thiscreates hypointense artifacts, which theoretically allow the distinguishability of both proteins. Since ironaccumulation precedes the clinical symptoms of the disease, MRI has the potential to become a non -invasivediagnostic method for the early stages of ND. At present, however, this is limited by the insufficient characterizationof the relaxation properties of biogenic iron and the uncertainty in the interpretation of clinical data. Therefore, ourbasic goal (application output) is the development of a comprehensive methodology (FERINO software tool) for theunequivocal diagnosis of the early stages of ND. To reach our goal, we will use a combination of several diagnostictechniques and artificial intelligence tools. The diagnostic techniques include in-vitro, in-silico, and in-vivocharacteristics of ferritin relaxation, structural MRI, magnetic resonance spectroscopy (MRS), neurological tests,and clinical biochemistry biomarkers. The cornerstone of the methodology will be the FerroQuant software tool,which was proposed by the principal investigator within the APVV 2012. It enables the analysis and quantificationof iron-related clinical MRI data but lacks new findings in iron MRI (false-positive artifacts, ferritin\'s mineral phases).FerroQuant also does not use artificial intelligence and does not combine different diagnostic data, whic h, however,will be an integral part of the FERINO tool. |
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