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Showing 2 results for Kazemzadeh

Mehdi Kazemzadeh Narbat, Fariba Orang, Mehran Solati Hashtjin, Azadeh Goudarzi,
Volume 10, Issue 4 (10-2006)
Abstract

Background: engineering new bone tissue with cells and a synthetic extracellular matrix represents a new approach for the regeneration of mineralized tissues compared with the transplantation of bone (autografts or allografts). Methods: in this study, to mimic the mineral and organic component of natural bone, hydroxapatite (HA) and gelatin (GEL) composite scaffolds were prepared. The raw materials were first compounded and the resulting composite were molded into cylindrical shape. Using solvent-casting method combined with freeze drying process, it is possible to produce scaffolds with mechanical and structural properties close to natural trabecular bone. Glutaraldehyde (GA) was used as cross linking agent. The chemical bonding and the microstructure were investigated by Fourier Transform Infra Red (FT-IR), Scanning Electron Microscopy (SEM) and Light microscopy. Results: it was observed that the prepared scaffold has an open, interconnected porous structure with a pore size of 80-400 mµ , which is suitable for osteoblast cell proliferation. The mechanical properties of different weight fraction of HA (30, 40, and 50 wt%) was assessed and it was found that the GEL/HA with ratio of 50wt% HA has the compressive modulus of ~10 Giga Pascal (GPa), the ultimate compressive stress of ~32 Mega Pascal (MPa) and the elongation of ~3MPa similar to that of trabecular bone. The porosity and the apparent density of 50wt% HA scaffold were calculated and it was found that the addition of HA content can reduce the water absorption and the porosity. Since GA is cytotoxin, sodium bisulfite was used as GA discharger. The biological responses of scaffolds carried out by L929 fibroblast cell culture and it was observed that fibroblast cells partially proliferated and covered scaffold surface, 48h after seeding. Conclusion: these results demonstrate that the manufactured scaffolds are suitable candidate for trabecular bone tissue engineering.
Zahra Movahedpour, Amir Mohammad Chekeni, Asal Kazemzadeh, Kimia Soruri Rad,
Volume 28, Issue 0 (Supplementary 2024)
Abstract

Introduction: Diabetes is a common chronic metabolic disease that poses a significant global healthcare challenge. The International Diabetes Federation projects reported that 693 million people will experience diabetes by 2045. Given the serious complications and mortality associated with diabetes, it is essential to educate patients and promote self-care pratices. Mobile health technologies (mHealth) have become important tools in managing diabetes and supporting self-care. This study aimed to review how mHealth can assist diabetic patients in managing their self-care more effectively.
 Search Strategy: We utilized PICO criteria to search various databases, including PubMed, Web of Science, Medline, Scopus, SID, and Google Scholar using the keywords "Mobile Health," "Self-Care," and "Diabetes" from 2015 to 2023. Two operators independently conducted searches using Boolean operators. After screening and conducting a quality appraisal, 128 articles were identified, of which 11 met the inclusion criteria.
Results: The results suggested that integrating AI-based mHealths into diabetes management programs has broadened their functionalities beyond monitoring blood glucose levels and HbA1c. These advanced software solutions have shown potential in promoting physical activity, reducing sedentary behavior, supporting short-term weight loss, assisting with insulin dose adjustments, educating users about diabetes complications, and facilitating data sharing with healthcare professionals for remote monitoring and care. One significant benefit of utilizing mHealths is their accessibility, with many programs being offered at no cost or requiring only a fixed or minimal subscription fee. Studies have indicated high adoption rates of mobile health interventions in underserved areas with limited access to healthcare providers and services. However, challenges and limitations linked to the use of mHealths have been recognized. These include the need for extensive data input, concerns about the security and privacy of personal information, potential erosion of patient trust, as well as issues regarding the accuracy and reliability of health information obtained through these platforms.
Conclusion and Discussion: As artificial intelligence (AI) continues to gain traction in healthcare, it is essential to educate providers on the operation of these tools. Emphasizing distance education for technological products can significantly reduce hospital costs. Expanding mobile health initiatives for primary prevention can help mitigate complications associated with diabetes. Although the use of AI remains limited, aligning research policies with technological advancements and fostering interdisciplinary health support is crucial.



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