Projects

Project objective: Develop a solution for automatic processing of medical texts, identification and structuring of clinical terms using SNOMED CT codes and FHIR standard. Work plan: 1. Clinical term identification - Preprocessing of Estonian medical texts - Application of machine learning/language models for term identification from text - Structuring of identified terms for further processing 2. Standardization and coding - Linking identified terms with SNOMED CT codes - Semantic matching of data with standardized ontologies - Converting results to FHIR format Demo solution and expected outputs: - Practical demonstration solution for complete workflow - Working system for automatic identification of clinical terms from Estonian texts - Structured output of terms linked with SNOMED CT codes - Standard data presentation in FHIR format for further use Keywords: medical texts, SNOMED CT, FHIR, language processing, clinical terms, automatic annotation, structured data

"Background: Teledermoscopy has shown high diagnostic accuracy (sensitivity 90.48% and specificity 92.57%) for early detection of skin cancer in Estonia. However, not all its potential for early detection has been utilized, contributing to high melanoma mortality rates. Objective: This project aims to assess the impact of an integrated approach to patient pathways initiated by teledermoscopy on melanoma management effectiveness, focusing on faster diagnosis confirmation and treatment. Methodology: The study will evaluate the smoothness and effectiveness of the patient pathway initiated by teledermoscopy, integrating improvements based on existing requirements and study findings. The primary outcome measure will be the speed of histologically confirmed diagnosis and subsequent treatment. Result-Hypothesis: It's hypothesized that the integrated pathway will lead to better melanoma patient outcomes compared to previous studies, ensuring timely diagnosis confirmation and treatment."

The aim of the project is to develop innovative gluten-free vegan confectionery with no added sugar, meeting the growing consumer demand for healthier sweets that support special dietary needs. The work includes developing suitable raw materials and recipes, optimizing texture and sensory properties, and evaluating product quality and stability.

The aim of the project was to identify the causes of the water accident in Kuressaare and the related drinking water pollution, and to propose solutions to prevent similar situations. The project activities included on-site observations, interviews with relevant parties, and simulation of the emergency situation using existing pressure and flow and water quality measurement data and hydraulic analyses performed using digital twins of water systems.

How to feed the world in the future in a sustainable way is the largest challenge for mankind. Understanding plant response mechanisms to stresses at the molecular level is essential for developing crops with better performance. Plants perceive pathogens and induce signaling events to activate immunity. However, the associated signaling pathways are still incomplete. I have recently identified SHEER (Stress induced Heme Receptor) in Arabidopsis as the first heme receptor in plant immune signaling. In humans, heme is a well-established signaling molecule to induce immunity. However, in plants so far there is no evidence of the function of free heme in immune signaling. My aim is to address the molecular regulation of SHEER, a completely new player in plant immunity. Furthermore, obtained knowledge will be transferred to economically important barley by CRISPR technology. We expect to provide potential molecular genetic targets for engineering crops with enhanced fitness in the future.

Experimental research for the development of asphalt mixtures with optimum lignin content.

MOVEx is a 3-year project, focused on organizing an effective Virtual Exchange Program as a platform for professional and intercultural interaction, exchange of experience, to ensure high-quality educational services

The main scope of the activities to be undertaken during the project covers capacity-building initiatives in selected higher education institutions with the main goal to improve and harmonize understanding as well as practice of entrepreneurial mindset, innovative talent and high-impact expertise.

The purpose of the work was to test and experiment with the Emtel EN-7.1k-48-1C-x-x-x-PIB_1V0-GEN1 energy storage device. During the testing, the full cycle of charging and discharging the storage device was measured and documented. In addition, the self-discharge of the storage device within 24 h was evaluated.

The project “Feasibility Study on the Mechanical Recycling of Wind Turbine Blades” addresses the growing environmental and technological challenge related to the increasing volume of end-of-life wind turbine blades. The objective of the project is to study these complex fibre-reinforced composite materials (primarily glass fibres and epoxy resins, as well as metallic fasteners, sensors, and other components) and to assess the feasibility of their mechanical processing and selective separation. The study is primarily focused on demonstrating the fundamental feasibility (proof-of-concept) of mechanical recycling, identifying whether and in which direction further technological development is justified. The project evaluates the applicability of different mechanical treatment and separation methods and establishes an initial methodological basis for future development. The work builds on existing laboratory experience and aims to identify general processing principles and technological potential rather than to develop a final industrial solution. The obtained results will provide guidance for further research and enable the initiation of larger-scale R&D projects aimed at developing integrated recycling technologies and their commercialisation. In the long term, the project contributes to the development of resource-efficient and environmentally sustainable recycling solutions, supporting circular economy principles, creating new value chains, and reducing landfill disposal of composite materials.

Development of sensor technology for women’s health.

Bone loading is the stress on bones during physical activity. It affects bone health and current wearable devices cannot measure it accurately. OsteoSense uses minature biosensors to capture human motion and machine learning to estimate bone loading, providing feedback and expert guidance directly on your smart phone. The system will be tested by leading experts in Estonia and professional football and racing teams in the UK, providing a world-class solution for indoor and outdoor human motion capture and bone loading reporting.