This paper presents the concept and most of the research undertaken all over the world for the development of a bio-artificial pancreas (BAP) device over the last 30 years. The devices studied, meant to mimic the insulin secretion of the natural organ, were diverse and have been reviewed. Allogeneic or xenogeneic cells or cell clusters have been separated from the host's immune system by synthetic biocompatible semipermeable membranes to prevent the need, of the host, for immune-suppressing regimens. The biocompatible polymer used as a barrier and its intrinsic characteristics, the cell immobilization or suspension media, the existence or not of co-immobilized molecules or cells, the number of devices used and the implantation site, were addressed.
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http://dx.doi.org/10.1002/med.20047 | DOI Listing |
J Clin Transl Endocrinol
December 2024
Erasmus MC Transplant Institute, Department of Internal Medicine, University Medical Centre Rotterdam, 3000 CA Rotterdam, the Netherlands.
Aims: Healthcare professionals are relevant stakeholders because of their gatekeeper role in the clinic. This study aims to explore their perspectives on the potential future clinical implementation of the bio-artificial pancreas (BAP) for people with type 1 diabetes, and suitable target groups.
Methods: Semi-structured interviews were conducted with 17 healthcare professionals, including endocrinologists, nurses, and pancreas transplant surgeons.
BMC Med Imaging
October 2024
Department of Computer Science & Engineering (Major in Bio Artificial Intelligence), Hanyang University at Ansan, 55, Hanyangdaehak-ro, Sangnok-gu, 15588, Ansan-si, Gyeonggi-do, Republic of Korea.
Methods
November 2024
Department of Applied Artificial Intelligence Major in Bio Artificial Intelligence, Hanyang University, Ansan, 15588, Republic of Korea. Electronic address:
Automatic diagnostic systems (ADSs) have been garnering increased attention because they can alleviate the workload of clinicians by assisting in diagnosis and offering low-cost access to healthcare for people in medically underserved areas. ADS can suggest potential diseases by analyzing a patient's self-report. Previous research on ADS has leveraged diagnostic case data from various patients and medical knowledge to diagnose diseases, with multimodal ensemble methods proving particularly effective.
View Article and Find Full Text PDFSensors (Basel)
May 2024
College of Computing, Hanyang University, Ansan 15588, Republic of Korea.
In recent years, satellite communication systems (SCSs) have rapidly developed in terms of their role and capabilities, promoted by advancements in space launch technologies. However, this rapid development has also led to the emergence of significant security vulnerabilities, demonstrated through real-world targeted attacks such as AcidRain and AcidPour that demand immediate attention from the security community. In response, various countermeasures, encompassing both technological and policy-based approaches, have been proposed to mitigate these threats.
View Article and Find Full Text PDFSensors (Basel)
February 2024
Department of Artificial Intelligence, Hanyang University, Ansan 15588, Republic of Korea.
Obstructive sleep apnea (OSA), a prevalent sleep disorder, is intimately associated with various other diseases, particularly cardiovascular conditions. The conventional diagnostic method, nocturnal polysomnography (PSG), despite its widespread use, faces challenges due to its high cost and prolonged duration. Recent developments in electrocardiogram-based diagnostic techniques have opened new avenues for addressing these challenges, although they often require a deep understanding of feature engineering.
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