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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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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This project centers on the diagnosis and monitoring of health conditions that impact patients’ vocal characteristics, including Neurocognitive disorders (NCDs) (signifying cognitive decline), pulmonary disorder (COPD), and heart failure conditions (HF). By utilizing longitudinal voice recordings paired with medical data, we aim to create mathematical vocal characteristics, distance metrics, and machine learning methodologies that are […]
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