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Information Page of SAS Organisation


Institute of Informatics

International Projects

iMagine - Imaging data and services for aquatic science (iMagine)

Cloudové služby pre spracovanie obrazových údajov pre vedy o vode

Duration: 1. 9. 2022 - 31. 8. 2025
Evidence number:101058625
Program: Horizont Európa
Project leader: Ing. Tran Viet PhD.
Annotation:iMagine provides a portfolio of free at the point of use image datasets, high-performance image analysis tools empowered with Artificial Intelligence (AI), and Best Practice documents for scientific image analysis. These services and materials enable better and more efficient processing and analysis of imaging data in marine and freshwater research, accelerating our scientific insights about processes and measures relevant for healthy oceans, seas, coastal and inland waters. By building on the computing platform of the European Open Science Cloud (EOSC) the project delivers a generic framework for AI model development, training, and deployment, which can be adopted by researchers for refining their AI-based applications for water pollution mitigation, biodiversity and ecosystem studies, climate change analysis and beach monitoring, but also for developing and optimising other AI-based applications in this field. The iMagine compute layer consists of providers from the pan-European EGI federation infrastructure, collectively offering over 132,000 GPU-hours, 6,000,000 CPU-hours and 1500 TB-month for image hosting and processing. The iMagine AI framework offers neural networks, parallel post-processing of very large data, and analysis of massive online data streams in distributed environments. 13 RIs will share over 9 million images and 8 AI-powered applications through the framework. Having representatives so many RIs and IT experts, developing a portfolio of eye-catching image processing services together will also give rise to Best Practices. The synergies between aquatic use cases will lead to common solutions in data management, quality control, performance, integration, provenance, and FAIRness, contributing to harmonisation across RIs and providing input for the iMagine Best Practice guidelines. The project results will be integrated into and will bring important contributions from RIs and e-infrastructures to EOSC and AI4EU.

EOSC Beyond - EOSC Beyond: advancing innovation and collaboration for research

EOSC Beyond: pokrok v inováciách a spolupráci v oblasti výskumu

Duration: 1. 4. 2024 - 31. 3. 2027
Evidence number:101131875
Program: Horizont Európa
Project leader: Ing. Tran Viet PhD.
Annotation:EOSC Beyond overall objective is to advance Open Science and innovation in research in the context of the European Open Science Cloud (EOSC) by providing new EOSC Core capabilities allowing scientific applications to find, compose and access multiple Open Science resources and offer them as integrated capabilities to researchers. To do so, EOSC Beyond supports a new concept of EOSC: a federated and integrated network of Nodes operated at different levels, national, regional, international and thematic, to serve the specific scientific missions of their stakeholders. Further specific objectives of the project are to accelerate ‘time to product’ of new scientific applications with software adapters, enable Open Science with machine composability and dynamic deployment of shared resources, support innovation in EOSC with a testing and integration environment, and align the EOSC Core architecture and specifications to integrate with European dataspaces. The project extends the state of the art of the EOSC Core and adopts a co-design methodology, including requirements elicitation, software development and validation in collaboration with different use cases from EOSC national and regional initiatives (e-Infra CZ, Czechia, NFDI, Germany, and NI4OS, South East Europe region), thematic research infrastructures from Social Sciences and Humanities (CESSDA), Life Sciences (CNB-CSIC and Instruct-ERIC), Environmental Science (ENES and LifeWatch), and Health and Food (METROFood-RI). EOSC Beyond builds on the capacities of prospective EOSC Nodes and partners with multi-annual experience in developing solutions for large-scale federated digital infrastructures and aligns with the technical architecture and requirements of data spaces from different business sectors. Ultimately, EOSC Beyond supports Open Science in modern, data-intensive, and multidisciplinary research, facilitating resource discovery, access, and reuse across scientific communities, organisations, and countries.

NERO - European network on extreme fire behavior (NERO)

Európska sieť pre extrémne správanie požiarov

Duration: 17. 10. 2023 - 16. 10. 2027
Evidence number:CA22164
Program: COST
Project leader: RNDr. Glasa Ján CSc.
Project web page:https://www.cost.eu/actions/CA22164/#tabs+Name:Description

BattPor - Inline evaluation of Li-ion batery electrod porosity using machine learning algorithms

Inline evaluácia pórovitosti elektród Li-ion batérií pomocou algoritmov strojového učenia

Duration: 1. 6. 2022 - 31. 5. 2025
Evidence number:M.ERA-NET 3/2021/295/BattPor
Program: ERANET
Project leader: Ing. Malík Peter PhD.

SILVANUS - Integrated Technological and Information Platformfor wildfire Management (SILVANUS)

Integrovaná technologická a informačná platforma pre manažment lesných požiarov

Duration: 1. 10. 2021 - 31. 3. 2025
Evidence number:H2020-101037247
Program: Horizont 2020
Project leader: Ing. Balogh Zoltán PhD.
Annotation:SILVANUS envisages to deliver an environmentally sustainable and climate resilient forest management platform through innovative capabilities to prevent and combat against the ignition and spread of forest fires. The platform will cater to the demands of efficient resource utilisation and provide protection against threats of wildfires encountered globally. The project will establish synergies between (i) environmental; (ii) technology and (iii) social science experts for enhancing the ability of regional and national authorities to monitor forest resources, evaluate biodiversity, generate more accurate fire risk indicators and promote safety regulations among citizens through awareness campaigns. The novelty of SILVANUS lies in the development and integration of advanced semantic technologies to systematically formalise the knowledge of forest administration and resource utilisation. Additionally, the platform will integrate a big-data processing framework capable of analysing heterogeneous data sources including earth observation resources, climate models and weather data, continuous on-board computation of multi-spectral video streams. Also, the project integrates a series of sensor and actuator technologies using innovative wireless communication infrastructure through the coordination of aerial vehicles and ground robots. The technological platform will be complemented with the integration of resilience models, and the results of environmental and ecological studies carried out for the assessment of fire risk indicators based on continuous surveys of forest regions. The surveys are designed to take into consideration the expertise and experience of frontline fire fighter organisations who collectively provide support for 47,504x104 sq. meters of forest area within Europe and across international communities. The project innovation will be validated through 11 pilot demonstrations across Europe and internationally using a two sprint cycle.

SWORD - Smart Wound monitoring Restorative Dressings

Inteligentné diagnosticko-terapeutické náplasti

Duration: 1. 1. 2020 - 30. 6. 2025
Evidence number:H2020-873123
Program: Horizont 2020
Project leader: RNDr. Bardošová Mária CSc.
Annotation:The project aims to combine the expertise and resources of four academic groups working at the frontiers of material research and two SMEs, one engaged in producing commercial medical materials as well as having own research capacities. The Consortium plans to develop wound dressings which an be rated as a radical innovation in the area of chronic wound care. Our efforts will concentrate on the design of a new product which will combine diagnostic and therapeutic actions and facilitate wound healing, while at the same time minimize treatment costs and optimize wound management thus positively influencing patient's wellbeing. A range of new composites derived from naturally occurring materials, such as chitin and halloysite combined with colloids will be studied. The ensuing hybrid materials will be processed using micro- and nano-manipulating tools, including roll-to-roll and electrospinning technologies. A thorough characterization program will be undertaken in order to understand the molecular-level interactions between the composite components. The determination of materials structure will allow a complete understanding of how their properties originate so that they can be tailored to precisely fit their application. The dressing will feature diagnostic sensors capable of measuring pH, humidity, temperature and associated bacterial activity as well as a highly absorbent layer designed to drain the wound and release therapeutic agents. Each member of the Consortium is well-resourced in terms of facilities, infrastructure and technology transfer support so as to provide an ideal environment for the research program, the training of younger researchers and the exploitation of findings. Leveraging from nationally funded grants and actively engaging in research exchanges while seeking to produce a radical innovation in the area of 'smart' dressings the project will address all three key drivers of the knowledge-based society, namely research, education an innovation.
Project web page:https://cordis.europa.eu/project/id/873123

LITHME - Language in the Human-Machine Era (LITHME)

Jazyk v ére človek-stroj

Duration: 6. 10. 2020 - 5. 10. 2024
Evidence number:CA19102
Program: COST
Project leader: Mgr. Sabo Róbert PhD.

Preparation of nanometer patterns in 2D materials using electron beam lithography

Príprava štruktúr nanometrových rozmerov v 2D materiáloch použitím elektrónovej litografie

Duration: 1. 1. 2023 - 31. 12. 2024
Evidence number:BAS-SAS-2022-05
Program: Mobility
Project leader: Ing. Mgr. Andok Robert PhD.
Annotation:The aim of this project is to carry out basic research in the field of new progressive nanostructered 2D materials based on dichalcogenides of transition metals. The subject of the project proposal is the research concerning of the preparation methods of nanometer patterns in 2D materials using electron beam lithography which is one of the alternative methods for nanometer patterns preparation. The problems associated with the interaction of electron beam in very thin electron beam resist (10 - 50 nm) on 2D materials will be examined experimentaly and proximity effects simulation will be performed. The simulations of lithographic parameters of very thin electron beam resists on 2D materials, present an important part of this project. We expect some new scattering effects for case of low energy secondary electrons. In case of backscattered electrons, a long-range electron scattering in substrate will be examined. In addition, the influence of electron irradiation at a low and a high electron energyon mobility and carrier density of devices based on 2D materials is the subject of our investigation.

AI4EOSC - Artificial Intelligence for the European Open Science Cloud (AI4EOSC)

Umelá inteligencia pre EOSC

Duration: 1. 9. 2022 - 31. 8. 2025
Evidence number:101058593
Program: Horizont Európa
Project leader: Ing. Tran Viet PhD.
Annotation:The AI4EOSC (Artificial Intelligence for the European Open Science Cloud) delivers an enhanced set of advanced services for the development of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) models and applications in the European Open Science Cloud (EOSC). These services are bundled together into a comprehensive platform providing advanced features such as distributed, federated and split learning; novel provenance metadata for AI/ML/DL models; event-driven data processing services or provisioning of AI/ML/DL services based on serverless computing. The project builds on top of the DEEP-Hybrid-DataCloud outcomes and the EOSC compute platform and services in order to provide this specialized compute platform. Moreover, AI4EOSC offers customization components in order to provide tailor made deployments of the platform, adapting to the evolving user needs. The main outcomes of the AI4EOSC project will be a measurable increase of the number of advanced, high level, customizable services available through the EOSC portal, serving as a catalyst for researchers, facilitating the collaboration, easing access to high-end pan-European resources and reducing the time to results; paired with concrete contributions to the EOSC exploitation perspective, creating a new channel to support the build-up of the EOSC Artificial Intelligence and Machine Learning community of practice.
Project web page:https://ai4eosc.eu/

EuroScienceGatew - leveraging the European compute infrastructures for data-intensive research guided by FAIR principles (EuroScienceGateway)

využitie európskych výpočtových infraštruktúr pre výskum náročný na údaje riadený zásadami FAIR

Duration: 1. 9. 2022 - 31. 8. 2025
Evidence number:101057388
Program: Horizont Európa
Project leader: Ing. Tran Viet PhD.
Annotation:In the past decade, many scientific domains have been transformed into data-driven disciplines relying on the exchange and integration of internationally distributed data. Exploiting this data is still a laborious and largely manual task, prone to losses and errors, and increasingly specialised beyond most users technical capabilities. FAIR practices are encouraged but their adoption curve is steep. The needs for compute and data resources, tools, and application platforms are often domain-specific. Many scientists struggle to navigate this intricate ecosystem. Generally, researchers do not possess the computing skills to effectively use the HPC or Cloud platforms they need. Thus, new approaches are needed to enable all researchers, with widely ranging digital skills, to efficiently use the diverse computational infrastructures available across Europe, for asynchronous and for interactive applications. EuroScienceGateway will leverage a distributed computing network across 13 European countries, accessible via 6 national, user-friendly web portals, facilitating access to compute and storage infrastructures across Europe as well as to data, tools, workflows and services that can be customized to suit researchers' needs. At the heart of the proposal workflows will integrate with the EOSC-Core. Adoption, development and implementation of technologies to interoperate across services, will allow researchers to produce high-quality FAIR data, available to all in EOSC. Communities across disciplines - Life Sciences, Climate and Biodiversity, Astrophysics, Materials science - will demonstrate the bridge from EOSC's technical services to scientific analysis. EuroScienceGateway will deliver a robust, scalable, seamlessly integrated open infrastructure for data-driven research, contributing an innovative and customizable service for EOSC that enables operational open and FAIR data and data processing, empowering European researchers to embrace the new digital age of science.

SIESTA - Secure Interactive Environments for SensiTive data Analytics (SIESTA)

Zabezpečené interaktívne prostredia pre analýzu citlivých údajov

Duration: 1. 1. 2024 - 31. 12. 2026
Evidence number:101131957
Program: Horizont Európa
Project leader: Ing. Tran Viet PhD.
Annotation:The FAIR principles provide a framework for enabling proper access and reusability of scientific data, and implementing them is a key goal of the European Open Science Cloud (EOSC). However, providing access to sensitive or confidential data while preserving privacy/confidentiality and usability for researchers is still an open question. Existing solutions like safe rooms, safe pods, or data safe havens are often challenging for the development of reproducible research and seem counter-intuitive when dealing with open science and FAIR principles. The SIESTA project aims to provide a set of tools, services, and methodologies for the effective sharing of sensitive data in the EOSC, following a cloud-based model and approach. SIESTA will provide user-friendly tools with the aim of fostering the uptake of sensitive data sharing and processing in the EOSC. The project will deliver trusted cloud-based environments for the management and sharing of sensitive data that are built in a reproducible way, together with a set of services and tools to ease the secure sharing of sensitive data in the EOSC through state-of-the-art anonymization techniques. The overall objective is to enhance the EOSC Exchange services by delivering a set of cloud-based trusted environments for the analysis of sensitive data in the EOSC demonstrating the feasibility of the FAIR principles over them.

National Projects

ALOIS - Diagnosis of Alzheimer's disease from speech using artificial intelligence and social robotics

Diagnostika Alzheimerovej choroby z reči s použitím umelej inteligencie a sociálnej robotiky

Duration: 1. 7. 2022 - 30. 6. 2025
Evidence number:APVV-21-0373
Program: APVV
Project leader: Ing. Rusko Milan PhD.

Intelligent sensor systems and data processing

Inteligentné senzorové systémy a spracovanie dát

Duration: 1. 1. 2023 - 31. 12. 2026
Evidence number:VEGA 2/0135/23
Program: VEGA
Project leader: Ing. Malík Peter PhD.
Annotation:The central theme of Industry 4.0 and 5.0 is the digitization, intelligence and decentralization of management, so a key research is the new generation of smart sensors, able to cooperate and adapt to environment changes. This will be achieved by researching new methods of aggregating hyperspectral and multimodal data, as well as algorithms using artificial intelligence. The project is focused on intelligent algorithms for non-contact surface sensing in high-noise environments, which are able to learn the nature and noise distribution from data. This results in higher accuracy and greater noise robustness. The emphasis is on the classification and anomaly detection, which will bring more accurate and robust algorithms for use with the high noise content and long-tailed distribution that dominates in the common industrial environment. Research into aggregation algorithms for heterogeneous and multisensor data will bring new compensation mechanisms to suppress the effects of negative factors on sensor systems.


Manipulácia, funkcionalizácia, elektrónové vlastnosti a bioaplikácie 2D materiálov: 2D-MAT

Duration: 1. 1. 2024 -
Evidence number:2/0040/24
Program: VEGA
Project leader: Prof.Ing. Štich Ivan DrSc.

Manipulation of spin properties in 2D materials


Duration: 1. 9. 2022 - 31. 8. 2024
Evidence number:SASPRO 2 projekt č. 945478
Program: SASPRO
Project leader: prof. Ing. Štich Ivan DrSc.

RFMEMS - Microelectromechanical sensors with radio frequency data transmission

Mikroelektromechanické senzory s rádiofrekvenčnýcm prenosom údajov

Duration: 1. 7. 2021 - 30. 6. 2025
Evidence number:APVV-20-0042
Program: APVV
Project leader: Ing. Havlík Štefan DrSc.
Annotation:The project elaborates the method proposed by the authors, especially of mechanical quantities with wireless signal / energy transmission via electromagnetic field, solution of sensors as well as (micro) electro-mechanisms (MEMS). The task is a logical continuation of the results achieved within the successful solution of the previous project APVV 14-0076, where the principle of scanning and conception of the sensor solution according to the original design (utility model 8653, published patent applications PP 121-2018) was designed and verified. The presented project represents further theoretical and methodological-experimental processing in order to meet specific requirements for the solution of specific sensors including compliant - deformation members and electronic evaluation circuits as well as other electro-mechanisms with respect to selected applications. Part of the solution is to create tools for modeling, simulation and optimization of properties using available MEMS technologies. The project aims to follow the latest global trend in MEMS solutions.
Project web page:-

- - Modelling and supervisory control of resource allocation systems in discrete-event systems using of Petri nets

Modelovanie a supervízorové riadenie systémov prideľovania zdrojov v udalostných systémoch pomocou Petriho sietí

Duration: 1. 1. 2021 - 31. 12. 2024
Evidence number:2/0020/21
Program: VEGA
Project leader: doc. Ing. Čapkovič František CSc.
Annotation:Discrete-Event Systems (DES) are systems that remain in a given state until they are forced to change this state due to the occurrence of a discrete event. In practice, e.g. flexible manufacturing systems (FMS), robot cells, transport and communication systems, etc. are DES. Resource Allocation Systems (RAS) in DES tend to deadlocks. Deadlocks must be eliminated. Petri Nets (PN) will be used to model RAS and synthesize their control to avoid deadlocks. Two approaches to the supervisor synthesis will be explored: (i) on the basis of P-invariants of PN, at the simultaneous thorough analysis of the reachability tree (RT) of PN and at knowledge of the initial state of the PN model; (ii) by the thorough analysis of the PN model stucture and finding siphons and traps without the need to know the initial state. These two approaches will be compared. Their effectiveness and their advantages and disadvantages will be evaluated using the simulation in the Matlab environment.


Nanoštruktúrne polovodivé materiály a ich integrácia do chemoodporových senzorov plynov a do senzorov ťažkých kovov

Duration: 1. 1. 2021 - 31. 12. 2024
Evidence number:1/0789/21
Program: VEGA
Project leader: RNDr. Kostič Ivan

ORBIS - Ontology representation for security of information systems

Ontologická reprezentácia pre bezpečnosť informačných systémov

Duration: 1. 7. 2020 - 30. 6. 2024
Evidence number:APVV-19-0220
Program: APVV
Project leader: Ing. Budinská Ivana PhD.
Annotation:According to the action plan of the government of the Slovak Republic, one of the priorities is to “support research in cyber security”. This project proposal responds to the action plan's requirements by setting research objectives and goals in the field of cybersecurity. The project proposal focuses on new approaches in sharing knowledge about security incidents and indicators. There are several initiatives that seek to formalize and standardize security incidents descriptions. However, it is neither realistic nor desirable to assume that there will be one common standard for describing security incidents. The solution can be offered by creating a core ontology, which semantically integrates various approaches to describing threats and attacks, thus enabling the integration of several standards and knowledge repositories. The tools for representation and processing of ontologies will be used for this purpose. It will be a combination of procedures for collecting data from network communication, creating the necessary ontologies eg. semiautomatic extraction of ontologies from text in natural language – ontology learning, use of selected advanced methods of ontological knowledge representation, e.g. contextualized representation or methodology of ontological metamodeling. A significant shift will be that the ontology of the model can be represented by a graph. The results can be expected to contribute to more efficient sharing, representation, storage, and use of cybersecurity knowledge.

Computer simulation of airflows and fire smoke spread in critical structures

Počítačová simulácia prúdenia vzduchu a šírenia dymu pri požiari v kritických objektoch

Duration: 1. 1. 2024 - 31. 12. 2027
Evidence number: VEGA 2/0096/24
Program: VEGA
Project leader: Mgr. Weisenpacher Peter PhD.
Annotation:Research in the proposed project is focused on formulation of new scientific knowledge on computer simulation of airflows and fire smoke spread in critical structures. Motorway tunnels were selected as the main subject of research interest based on discussions with specialists on fire safety in Slovakia. Tunnels belong to inteligent structures with high safety requirements due to potentially huge losses in case of fire. Natural airflows, airflows created by emergency ventilation, airflows induced by fire and fire smoke spread will be analyzed with focus on velocity fields, velocity profiles and smoke stratification. Computational aspects of efficient parallel realization of computer simulation on HPC systems will be investigated as well. The previous research results, experience and obtained experimental data will be utilized. The research is in line with current research trends and requirements of the fire researchers’ and simulators developers’ community and has potential to have significant social impact.

Progressive methods of the transfer of nanostructured semiconductive 2D materials based on transition metal dichalcogenides onto microelectronic elements

Progresívne metódy transferu nanoštruktúrnych polovodivých 2D materiálov na báze dichalkogenidov tranzitných kovov do mikroelektronických prvkov

Duration: 1. 1. 2022 - 31. 12. 2025
Evidence number:2/0099/22
Program: VEGA
Project leader: Ing. Mgr. Andok Robert PhD.
Annotation:The aim of this project is to carry out basic research in the field of new progressive nanostruct. semiconductive materials based on dichalcogenides of transition metals with the focus on nanostructured disulfides. The properties of selected nanostructured disulfides will be examined in terms of their use in microlelectronics and expected advantages of nanostructured disulfides in comparison with bulk semiconductor materials will be shown. We will design model microelectronic devices based on specific nanostructured disulfides such as WS2, MoS2, MSe, and develop technological methods for their preparation. We will master mechanical exfoliation of nanostructured disulfide layers and transfer of these nanostructured layers to the microelectronic device on the substrate. We will also focus on the analysis of these layers and their structural properties by physical methods (SEM, AFM, EDX, Raman spectroscopy...) and on the characterization of electrical and transport properties of the model microel. structure.

Semantic distributed computing continuum for extreme data processing

Sémantické distribuované výpočtové kontinuum pre spracovanie extrémnych dát

Duration: 1. 1. 2023 - 31. 12. 2025
Evidence number:2/0131/23
Program: VEGA
Project leader: doc. Ing. Hluchý Ladislav CSc.

Simulation of smoke spread in roadway tunnel by FDS

Simulácia šírenia dymu v cestnom tuneli pomocou FDS

Duration: 16. 2. 2024 - 16. 11. 2024
Evidence number:p506-24-1
Program: Iné projekty
Project leader: Mgr. Weisenpacher Peter PhD.
Annotation:The proposed project focuses on the research of smoke propagation in roadway tunnels by Fire Dynamics Simulator (FDS). It builds on the results achieved in the previous research, which include measurements of airflow velocity and optical density in a real roadway tunnels as well as their computer simulations. Smoke tests performed in a roadway tunnel will be examined by FDS computer simulation and compared against the test measurements. The effect of computational grid resolution on the accuracy of the simulation and the influence of the decomposition of computational domain into meshes on simulation wall clock time and accuracy will be examined. The results of the project could contribute to the fire safety of tunnels.

2DQMC - -

Štúdium elektrónových vlastností 2D materiálov ultra-presnými metódami kvantového Monte Carla

Duration: 1. 7. 2022 - 30. 6. 2025
Evidence number:APVV-21-0272
Program: APVV
Project leader: prof. Ing. Štich Ivan DrSc.

Automatic speech processing technologies for support in crisis situations

Technológie automatického spracovania reči na pomoc v krízových situáciách

Duration: 1. 1. 2021 - 31. 12. 2024
Evidence number:2/0165/21
Program: VEGA
Project leader: prof. Mgr. Beňuš Štefan PhD.

Testing of the latest version of FDS system

Testovanie najnovšej verzie simulátora požiarov FDS

Duration: 7. 9. 2023 - 6. 9. 2024
Evidence number:p238-23-t
Program: Iné projekty
Project leader: Ing. Valášek Lukáš PhD.

AIPOLOGY - Artificial Intelligence for Personalised Oncology: from Single-Sample Assessment to Real-time Monitoring of Solid Tumours (AIPOLOGY)

Umelá inteligencia pre precíznu onkológiu: od analýzy jednotlivých vzoriek po real-time monitorovanie progresie nádorových ochorení.

Duration: 1. 7. 2022 - 30. 6. 2025
Evidence number:APVV-21-0448
Program: APVV
Project leader: doc. Ing. Hluchý Ladislav CSc.
Annotation:The methodologies that oncologists use to decide on a patient's treatment are ever changing. It seems to us that 21st century cancer medicine is much about analysing big data and using mathematical modelling to extract information that can help predict how tumours will evolve and react to potential therapies. The sad fact is, however, that despite ever increasing knowledge on cancer we still lack the proper tools to translate this knowledge to an impactful “bedside” practice that would overcome the limitation from cancer heterogeneity and allow real-time monitoring of disease progression. Here, we propose the AIpology project that aims at the development of novel artificial intelligence strategies to identify molecular traits (individual mutations, mutation signatures and genomic scars) in heterogeneous cancer genomes for which therapeutic targets exist. Based on target clonal mapping and ordering, the system will then outline possible courses of treatment and will intelligently adapt as more data from real time monitoring approaches (such as liquid biopsy) will become available. The system will help us to track each target at the finer time scale than it is possible today and predict future (i.e how the tumour will evolve after being treated with a specific drug) and past (i.e. how long the tumour existed prior to detection) cancer evolutionary trajectories from existing data. Finally, we will understand better why certain cancers become (chemo)therapy-resistant and derive clinically relevant recommendations when they do.

INFOTICK - Getting the right info on ticks

Získanie pravdivých informácií o kliešťoch

Duration: 1. 7. 2023 - 30. 6. 2027
Evidence number:APVV-22-0372
Program: APVV
Project leader: Ing. Gatial Emil PhD.
Annotation:Despite the fact that the castor bean tick, Ixodes ricinus has been studied for a century, many questions regarding its ecology remains unanswered. Several aspects of its basic biology and phenology are still unexplored. Global changes, including climate shifts, transformation of the landscape and urbanization, contribute to the switch not only in tick distribution, but also in bionomics and seasonal activity of ticks. The ornate dog tick, Dermacentor reticulatus adapts quickly to changing conditions and its range is expanding. There is the need for detailed description of areas where these ticks are found (natural as well as urban habitats), since their ranges have changed during the last decades. The main risk factor for tick -exposed people in a given area is the density of infected questing ticks. In the proposed project, questing activity of ticks will be monitored using the tick -plot methodology „tick gardens“ in field plots as well as flagging the vegetation for questing ticks. Using the tick-plot methodology, we will also follow the tick life cycle and the seasonality of various developmental events (especially moulting) as well as the longevity of different life stages. Since these two species of ticks are considered epidemiologically the most important, we will also identify the prevalence and occurrence of both pathogen infected questing ticks and infected ticks feeding on animals. Furthermore, with changing conditions, the invasion and occurrence of „non-native“ species of ticks in Slovakia will be closely monitored since these emerging tick species can introduce new pathogens to our area. The information obtained by the research team during the project as well as during previous studies will be transferred and used in the development of a mobile application for tick identification and the creation of a website that will bring benefits to the general public and professionals to understand the risk of infection with the tick-borne pathogens.

Projects total: 28