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Research Featured in Svenska Dagbladet

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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Vetenskapsrådet satsar 60 miljoner på ny nationell forskarskola – BTH en av sex medverkande lärosäten

  • 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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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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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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Feature Analysis of the Vowel [a:] in Individuals With Chronic Obstructive Pulmonary Disease and Healthy Controls

  • 31 October, 2025
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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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Ana Luiza Dallora Moraes Appointed as Docent in Applied Health Technology

  • 31 October, 2025
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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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Participation in the ELLIIT Annual Workshop 2025

  • 23 October, 2025
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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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Successful PhD Defense: Dr. Alper Idrisoglu

  • 16 October, 2025
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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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Oral Health Parameter-Based Mini-Mental State Examination Indication Using Machine Learning

  • 29 May, 2025
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Abstract Among the growing elderly population, the number of people with neurocognitive disease increases, highlighting the need for early diagnosis. Mini-Mental State Examination (MMSE) is one of the tools used to diagnose neurocognitive disease. The existence of a relationship between degraded oral health and decreased MMSE scores is known. Using machine Learning (ML) techniques, the […]

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