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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On October 31, 2025, Ana Luiza Dallora Moraes, Assistant Senior Lecturer at Blekinge Institute of Technology (BTH), successfully delivered her trial lecture for appointment as docent (associate professor) in Applied Health Technology. Title of the lecture:Artificial Intelligence in Health Research: From Data to Insights Abstract:With the emergence of artificial intelligence (AI), health is moving toward […]
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We participated in the ELLIIT Annual Workshop, held in Norrköping on October 21–22, 2025.During the event, Ana Luiza Dallora Moraes and Alper Idrisoglu presented a poster showcasing our ongoing research within applied health technology and digital biomarkers. The workshop brought together researchers from across Sweden to share new insights and foster collaborations within information and […]
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We are proud to announce that Alper Idrisoglu has successfully defended his PhD thesis on October 15, 2025, at Blekinge Institute of Technology (BTH). His dissertation, titled “Voice as a Digital Biomarker: Machine Learning Applications for Chronic Obstructive Pulmonary Disease Assessment”, explores how the human voice can serve as a non-invasive indicator of respiratory health. […]
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We are proud to share that Dr. Line Christiansen, researcher in Applied Health Technology at Blekinge Institute of Technology (BTH), was recently featured on TV4. In the interview, she discussed how older adults’ use of mobile phones may help support cognitive functions. She explains that digital engagement is not only a way to stay connected, […]
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Abstract Introduction Blood-based biomarkers for Alzheimer’s disease (AD) have the potential to improve diagnostic accessibility, but their clinical interpretation requires understanding of variability and biological influences. Methods We repeatedly sampled blood from 57 adults referred for lumbar puncture as part of a cognitive evaluation at a memory clinic. We measured serum phosphorylated- tau-181 (s-p-tau181) and […]
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