Projects

The overconsumption of sugar is one of the main reasons cardiovascular diseases and type 2 diabetes have reached pandemic proportions. While the obvious solution would be to eat less and make healthier lifestyle choices, the desire for sweetness in our food remains strong. Artificial sweeteners are widely used to lower calorie intake. Several of them, however, are suspected to pose health risks of their own, and many do not taste as well as sucrose, often leaving a lingering off-taste. The development of novel sweeteners is hindered by the scarcity of measurable data on what constitutes an ideal non-caloric sweetener. We aim to develop biochemical assays to determine these metrics, facilitating the discovery of healthy, sustainable, and good-tasting sweeteners.

The rapid emergence of new illegal drugs (HHC, nitazenes, synthetic cathinones, etc.) creates a need for fast, on-site drug testing tools that can detect multiple substances in biofluids. These tools are crucial for clinicians, anti-doping experts, and law enforcement. Multiplexed portable analytical tools have a great potential to be implemented for this purposes. Moreover, such kind of instruments could be utilized in personal healthcare monitoring by enabling early-stage diagnostics of health problems. This project aims to develop electrophoresis-based analytical tools for reliable, fast and cost-effective metabolism studies in vitro, revealing the characteristics and metabolic pathways of new psychoactive substances. Additionally, new on-site biofluid testing tools (focused on oral fluid) will be developed for detecting new drugs. The results of this project will enhance drug monitoring, support public health, and improve safety.

Antimicrobial resistance (AMR) and plastic pollution are global emergencies. Small microplastics (sMPs) (> 100µm) cause havoc in nature and are alarmingly prevalent in humans (e.g., placenta, brain, blood, and bone). sMPs also increase the risk of AMR by absorbing other pollutants (e.g., antibiotics) and promoting microbial aggregation and biofilm formation. Making screening and evaluation methods for new antibiofilm compounds widely available is essential. This project aims to develop a sustainable and democratized microfluidics platform to fight sMPs-induced AMR. Droplet-based microfluidics shows great potential for advancing knowledge and tackling this problem, allowing separation and manipulation of samples into thousands of miniscule drops (environments) for parallel studies. By using sustainable droplet technology with novel 3D-printed component for automated screening and evaluation of antibiofilm compounds, the project develops innovative solutions for global challenges.

The demand for advanced data storage is skyrocketing due to unprecedented growth of digital information, energy constraints, and cybersecurity concerns. We propose a scalable, robust, and cost-effective technology for the production of materials through the knowledge-based design of high-entropy MXenes, streamlined synthesis of MXenes functionalized Potassium Sodium Niobate(KNN) ceramics by controllable energy-efficient self-propagating high-temperature synthesis, and development of multilevel encoding technique leveraging different discretized signal intensity and temporal levels. For the first time, we propose a sustainable, clean and high-tech approach to production of HEMXenes added KNN for optical data storage, optical switchers and anticounterfeiting technologies. Integrating luminescence with photochromic properties presents an advanced approach for high-density, multi-level, and rewritable data storage. We provide a rational route from basic research to engineered applications.

Protecting underwater infrastructure and ensuring marine environmental safety in the Baltic Sea are crucial due to rising threats such as subsea cable damage, anchor incidents, and shipwreck-related pollution. This research integrates autonomous underwater sensor networks, advanced acoustic sensing, and artificial intelligence for enhanced maritime security and environmental monitoring. Acoustic arrays assess shipwreck conditions, including hull integrity, corrosion, and fuel presence, using advanced signal processing. Sensor nodes equipped with hydrophones continuously monitor underwater acoustic signals, detecting and classifying anthropogenic and natural sources. Machine learning-driven signal processing enables real-time risk assessment, anomaly detection, and communication with surface units. Expected outcomes include improved hazard detection, more efficient pollution monitoring, and autonomous decision-making, strengthening marine conservation and security in the Baltic Sea.

Globally, fish have a market value of 150 billion EUR per year. In addition, the implementation of the European Water Framework and Habitats Directives underscores the necessity for long-term environmental monitoring across the European Union. Economically and ecologically significant fish species, such as Salmon and the critically endangered European Eel are both native to Estonia, and their life cycles require migration from marine to freshwater environments. Current academic solutions for fish monitoring are too slow and expensive, and commercial solutions with AI still rely on manual processing of thousands videos at each location. The "AquaID" project aims to develop viable systems capable of automatically detecting and counting wild fish with significantly enhanced performance. This will be achieved through the utilization of custom hardware and underwater artificial intelligence methods developed at TalTech, in collaboration with international academic and commercial partners.

The functioning of the brain is based on neuronal cooperation and communication between different brain regions. Electroencephalography (EEG) functional connectivity (FC) analysis contributes to neuroscience and holds great potential for developing novel biomarkers to objectively assess signs of brain disorders. The project proposes a novel approach to the study of functional network analysis, focusing on the interactions between EEG FC and small-world (SW) organization. The project tests the hypothesis that interactions between FC and SW are related to Default Mode Network (DMN) activity, thereby linking electrode-level EEG features to underlying neurophysiological processes. The project uses biophysical modeling for EEG source-level analysis and machine learning to uncover complex patterns and relationships between FC and SW measures. The FC-SW interaction could lead to the development of a prospective biomarker that may be more specific for differentiating between disorders.

DigiBio project focuses on digitalisation, bioeconomy, and sustainability, scientific domains which constitute a high priority in national, regional, and EU strategies and policies. As the second large European Centre within this area, the Estonian Centre for Bioesustainability (ECB) will place Estonia in a very competitive position in European R&I. With DTU assistance, ECB will establish a major research, technology development, and innovation platform for the generation of cutting-edge bioengineering solutions focused on sustainable bio-production through biology digitalisation. This platform will accelerate lab-to-market translation of bioengineering solutions, diversifying Estonian national industry. DigiBio’s overarching objective is to establish a state-of-the-art CoE for digitalisation of biology in Estonia, through upgrading the ECB.

This multidisciplinary study aims to decrease cardiovascular mortality in Estonia by increasing treatment adherence and empowering patients to create a supportive self-management environment for monitoring their health and actively participating in the treatment process. Analysing 1) the LDL-cholesterol values of North Estonia Medical Centre (NEMC) patients to find underdiagnosed and undertreated patients and 2) treatment adherence to lipid-lowering drugs (LLD). Identifying patient groups who need additional support. During the pilot project, a novel application will be developed, together with personal support, used to increase LLD adherence. The novelty of the tool – combining the data used in Estonia from the Nationwide Health Information System, ePrescription, and NEMC electronic medical record with the data collected by the patient and enabling two-way communication between the patient and medical staff. In the last stage of the study, an impact assessment of the tool is planned.

This project aims to investigate how epigenetic mechanisms, specifically histone modifications, control gene expression during neuronal development and maturation. We recently discovered that histone bivalency, the simultaneous presence of two histone modifications with opposing functions, controls the timing of gene expression during the maturation of cerebellar neurons. In the proposed studies, we will examine the mechanisms and function of histone bivalency in the adult brain, as well as the species-specific differences in bivalency during mouse and human neuronal development. The research also aims to uncover the molecular mechanisms underlying neurodevelopmental diseases associated with mutations in EZH1, a key enzyme involved in the regulation of bivalent domains. This project will provide fundamental insights into the chromatin mechanisms of brain development and function, with potential implications for understanding and treating neurodevelopmental disorders.

This project aims to investigate how epigenetic mechanisms, specifically histone modifications, control gene expression during neuronal development and maturation. We recently discovered that histone bivalency, the simultaneous presence of two histone modifications with opposing functions, controls the timing of gene expression during the maturation of cerebellar neurons. In the proposed studies, we will examine the mechanisms and function of histone bivalency in the adult brain, as well as the species-specific differences in bivalency during mouse and human neuronal development. The research also aims to uncover the molecular mechanisms underlying neurodevelopmental diseases associated with mutations in EZH1, a key enzyme involved in the regulation of bivalent domains. This project will provide fundamental insights into the chromatin mechanisms of brain development and function, with potential implications for understanding and treating neurodevelopmental disorders.

Neural plasticity is the ability of nervous system to change its activity in response to stimuli by reorganizing its structure, functions, or connections and this is the main cellular basis for memory. Activity-regulated genes play crucial roles in the formation of neuronal plasticity, and dysregulation of this process gives rise to various nervous system disorders. The neurotrophin BDNF is among the best-studied activity-regulated genes, and its polymorphisms are associated with impairments in human cognition. Our results also place the basic helix-loop-helix transcription factor TCF4, that is implicated in a variety of psychiatric and autism spectrum disorders, to the group of activity-regulated transcription factors. The aim of this project is to study gene regulation in intellectual disability and autism spectrum disorders with emphasis on disease-associated transcription factors TCF4, SATB2, FOXP1, and neurotrophin BDNF for finding new drug targets.

The infrastructure brings together the capabilities in chemical synthesis, chemical and biotechnology in Estonia. Its primary goal is the development and technologization of new sustainable and environmentally friendly synthesis methods, such as mechanosynthesis, flow chemistry, electrochemistry, photochemistry, and organocatalysis. New chemical methods (using enzymes, ionic liquids, and metal-organic frameworks) creates new opportunities for obtaining complex natural compounds. To ensure the sustainability of methods and materials, safety studies are conducted. The shared use of the infrastructure initiates new interdisciplinary projects and creates prerequisites for innovation and collaboration with research-intensive companies. Involving the use of infrastructure at all levels of higher education and in micro-degree programs ensures continuity in science and a qualified personnel for entrepreneurship.

The project aims to advance Electric Propulsion Drive System (EPDS) Digital Twin (DT) technology for Software Defined Electric Vehicles (SDEVs), with a focus on achieving DT adaptive and intelligent levels. It addresses the need for efficient testing and evaluation of electric propulsion systems in line with EU clean energy transition goals. Leveraging the rapid development of DT technology, the project seeks to contribute to SDV technology through enhanced modeling, data gathering, IoT integration, and system optimization. Key challenges include lifecycle management, data processing, and real-time communication between physical and virtual systems. The project encompasses advanced modeling, data gathering, IoT, and communication infrastructure, system integration, optimization, and technology demonstration.