The Cyprus Biobank collects biosamples, medical and lifestyle information with the aim of reaching 16,500 Cypriots aged ≥ 18-years, by year 2027, as part of a multitasked EU funded project. Volunteers are both from the general population and from disease cohorts of focused research projects, who amongst others will contribute to canvas the architecture of the Cyprus human genome and study the healthy and morbid anatomy of Cypriots. The Cyprus Biobank is a research infrastructure pillar of the biobank.
View Article and Find Full Text PDFThis paper introduces a mobile framework designed to enhance citizen access to and sharing of health data, aiming to empower individuals with greater control over their personal health information. Accessing and sharing health-related data is essential in everyday scenarios, from routine doctor visits or viewing your health on your own to emergencies where swift access can save lives. It addresses the challenges posed by the fragmented nature of healthcare services and the barriers of language differences in patient records.
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August 2024
The integration of chatbots in healthcare has gained attention due to their potential to enhance patient engagement and satisfaction. This paper presents a healthcare chatbot providing comprehensive access to patient summaries, aligned with the European Patient Summary. Leveraging Natural Language Processing (NLP) capabilities, our chatbot employs intent classification using the fine-tuned bioBERT model to categorize user queries effectively and extract relevant information from the patient summary stored in a database.
View Article and Find Full Text PDFSpinal canal dimensions may vary according to ethnicity as reported values differ among studies in European and Chinese populations. Here, we studied the change in the cross-sectional area (CSA) of the osseous lumbar spinal canal measured in subjects from three ethnic groups born 70 years apart and established reference values for our local population. This retrospective study included a total of 1050 subjects born between 1930 and 1999 stratified by birth decade.
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