Blog

Relative’s suggestions for improvements in support from health professionals before and after a patient’s death in general palliative care at home: A qualitative register study

Abstract Introduction: The efforts of relatives in providing palliative care (PC) at home areimportant. Relatives take great responsibility, face many challenges and are at increasedrisk of poor physical and mental health. Support for these relatives is important,but they often do not receive the support they need. When PC is provided athome, the support for relatives […]

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Support given by health professionals before and after a patient’s death to relatives involved in general palliative care at home in Sweden: Findings from the Swedish Register of Palliative Care

Abstract Objectives. General palliative care (PC) is provided more at home, leading to increasedinvolvement of relatives. Although support for relatives is a fundamental component of PC,there are deficiencies in the support provided to relatives when general PC is provided at home.This study aimed to describe the support provided by health professionals before and after apatient’s […]

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Bilden är skapad med hjälp av AI för att illustrera doktorander som presenterar forskning och äter bullar.

Probanddag 18/4- 2024

Den 18 april 2024 anordnade SNAC Blekinge en välbesökt Probanddag. Denna speciella dag gav möjligheten för forskningsdeltagare att få insikt i den pågående och senaste forskningen vid Blekinge Tekniska Högskola. Program Professor Johan Sanmartin Berglund inledde med att presentera SNAC ur ett större perspektiv och med en tydlig strimma av forskningsresultat med den äldre populationen […]

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Oral Health and Cognitive Function Research Presented at ICBCB 2024

In an outstanding display of innovation and interdisciplinary collaboration, Ph.D. students Alper Idrisoglu and Johan Flyborg presented their impressive study at the International Conference on Bioinformatics and Computational Biology (ICBCB) 2024 in Tokyo. Their study, “Oral Health Parameter-Based Mini-Mental State Examination (Score) Indication Using Machine Learning,” has not only showcased the prowess of our institution […]

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ELLIIT Annual Workshop 2024

Alper has participated in the ELLIIT Annual Workshop with a poster presentation. The workshop was hosted by Lund University on March 7-8 and the workshop encompassed a breadth of stimulating topics spanning multiple disciplines. Alper’s poster elicited substantial interest, sparking extensive inquiries and discussions from attendees.

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Symposium: Voice and speech research in medicine (Tıpta ses ve konuşma araştırmaları sempozyumu)

Alper was honored with an invitation to participate in a symposium centered on the exploration of voice and speech research within the medical domain, hosted at Gazi University’s Faculty of Medicine in Ankara, Türkiye, on March 06, 2024. The symposium served as a platform for the dissemination of findings from a comprehensive systematic literature review […]

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Besök från Aktiva Seniorer

Den 29 februari på eftermiddagen hade vi Aktiva seniorer på besök.  Aktiva Seniorer är en riksorganisation med föreningar över hela Sverige, och verkar ideellt för att främja medlemmarnas kulturella och sociala intressen och vill stimulera till fortsatt aktivitet. Vi arrangerade en föreläsning som Docent Martin Boldt hade om AI.  Efter föreläsningen gick vi vidare till […]

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Applied Health Technology Research Conference at Scandic Karlskrona, December 11th, 2023

The Applied Health Technology Research Conference at Blekinge Institute of Technology was a vibrant convergence of minds at Scandic Karlskrona on December 11th, 2023. Researchers and professionals immersed themselves in the latest breakthroughs at the intersection of technology and healthcare. The conference provided a platform for unveiling groundbreaking studies and innovations, ranging from telemedicine solutions […]

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Empowering Dementia Diagnosis: A Machine Learning-Driven Automated System

Abstract: Dementia, a neurodegenerative disease, significantly impairs cognitive abilities and is often not diagnosed until the later stages of disease progression. This delayed diagnosis results in missed early intervention, support opportunities and difficulty implementing appropriate care strategies. To address this problem, researchers have proposed automated diagnostic systems that utilize machine learning methods using electronic health […]

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