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PhD Project on Vascular Ageing and AI-Based Risk

  • 9 February, 2026
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We are pleased to welcome Burak as a new PhD researcher joining our group to work on digital and data-driven approaches for understanding vascular aging in primary care settings. The project aims to improve early identification of subtle vascular changes that precede overt cardiovascular disease by using patient-near measurements and clinically relevant data that can […]

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Importance of alexithymia on anxiety and depression in alopecia areata: a cohort study

  • 4 February, 2026
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Authors: Johan Fhager, Karin Örmon, Åke Svensson, Karin Sjöström Abstract:Abstract Background Alopecia areata (AA) is an autoimmune hair loss disease, considered a psychosomatic disease with comorbid symptoms of depression and anxiety. Alexithymia, defined as difficulties in recognizing and describing feelings, has been found to be a vulnerability factor for developing anxiety and depression and somatic […]

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Wired and not Tired? Internet Use and Sleep in Older Adults

  • 26 January, 2026
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Sarah Nauman Ghazi; Peter Anderberg; Johan Sanmartin Berglund  Abstract Introduction: As digital engagement becomes integral to society, understanding the association between technology use and sleep health in older adults is important. Objective: This study examined sleep health and its relationship with technology use before bedtime and midnight in a population-based cohort aged 60 years and older. Methods: […]

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Research Featured in Svenska Dagbladet

  • 22 January, 2026
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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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Welcome to the Team: Line Christiansen, Postdoctoral Researcher

  • 12 January, 2026
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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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Vetenskapsrådet satsar 60 miljoner på ny nationell forskarskola – BTH är med

  • 12 December, 2025
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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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ABSTRACTPatient-Controlled Sedation During Gynaecological Procedures—Aspects of Patient Satisfaction, Feasibility and Cost Per Patient: Empirical Research QuantitativeABSTRACT

  • 3 December, 2025
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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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Welcome Flippa – New PhD Student in Applied Health Technology

  • 1 December, 2025
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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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Teachers’ Strategies and Technology Use for Enhancing Students’ Critical Thinking in Nursing Simulation-Based Learning: A Qualitative Pilot Study

  • 17 November, 2025
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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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New Machine-Learning Methods for High-Dimensional, Population-Scale Proteomics

  • 13 November, 2025
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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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