Research from Blekinge Institute of Technology on AI-based voice analysis for the detection of chronic obstructive pulmonary disease (COPD/KOL) has recently been highlighted in Svenska Dagbladet. The article discusses how voice recordings analyzed with artificial intelligence may, in the future, complement existing clinical methods by supporting earlier identification and follow-up of COPD. The work is […]
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We are pleased to welcome Line Christiansen, PhD, to the Health Technology team as a Postdoctoral Researcher in Applied Health Technology (AHT). Line’s research focuses on advancements in health technology, particularly digital health solutions and their potential to support health-related quality of life among older adults. Her work places special emphasis on individuals living with […]
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THIHA:s årliga konferens vid Institutionen för hälsa genomfördes nyligen och samlade forskare samt medarbetare inom verksamheten, inklusive representanter från Health and Technology Research Lab. Konferensen utgjorde en central mötesplats för presentation, diskussion och reflektion kring aktuell forskning och utveckling inom området tillämpad hälsoteknik. Under konferensen var det forskarna som stod för presentationerna, och totalt genomfördes […]
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Vetenskapsrådet investerar 60 miljoner kronor i den nya nationella forskarskolan DACHE (Development of Academic Competence in Health Care Education). Blekinge Tekniska Högskola (BTH) är ett av sex deltagande lärosäten i satsningen, som syftar till att stärka den akademiska kompetensen inom hälso- och sjukvårdsutbildningar och öka antalet disputerade lärare i professionsutbildningar, såsom sjuksköterskeprogrammet. – Det här […]
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The European Health Data Space (EHDS) is a major EU initiative aimed at making health data more accessible, secure, and usable across all Member States. It introduces a common framework for accessing, sharing, and reusing health data in a responsible manner. As part of this process, the European Commission is publishing a series of implementing […]
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ABSTRACT Aim To evaluate the use of patient-controlled sedation with propofol in outpatients with anxiety and fear of gynaecological procedures, considering patient satisfaction, feasibility and costs. Design This quantitative study used a descriptive retrospective design. Review Methods This study evaluated patient satisfaction, procedure feasibility and direct costs for PCS with propofol for outpatients with anxiety […]
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We are pleased to welcome Flippa Stenberg as a new PhD student at the Health & Technology Research Lab. Flippa’s doctoral project is situated within applied health technology, with a particular focus on how artificial intelligence can strengthen telemedicine for field medics in the Armed Forces. Her research will investigate how AI-driven decision support can […]
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Abstract In nursing education, simulation-based learning (SBL) is often used to bridge theoretical knowledge and practical application, supporting nursing students in developing their critical thinking (CT) skills. Despite the benefits of using SBL in nursing education, research gaps remain in understanding student learning outcomes. Furthermore, there is a lack of studies describing the specific use […]
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ELLIIT Funds New Research Project in Applied Health Technology: Machine Learning for High-Dimensional Proteomics (Project F8) We are pleased to announce that the project “New Machine-Learning Methods for High-Dimensional, Population-Scale Proteomics” (Project F8) has been selected for funding within ELLIIT Call F. The initiative is led by: The project brings together methodological expertise in machine […]
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SUMMARY Background In addition to impairing the lung function, chronic obstructive pulmonary disease (COPD) also affects phonatory characteristics. Recent research highlights the potential of voice as a digital biomarker to support clinical decision-making. While machine learning (ML) can detect disease patterns from acoustic features, clinical relevance requires understanding the relationship between the disorder and acoustic […]
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