Regenerating skin tissue remains a major challenge in medical science, especially due to the risk of scarring and prolonged healing, which becomes even more complicated in people with diabetes. Recent advancements have led to the creation of therapeutic dressings incorporating drug-delivery systems to tackle these issues. Exosomes (Exos) derived from mesenchymal stem cells (MSCs) have gained significant attention for mediating therapy without directly using cells, thanks to their natural anti-inflammatory and tissue repair properties mirroring those of MSCs.
View Article and Find Full Text PDFThis study considers Timoshenko beam theory and the isogeometric analysis method to investigate the free vibration and buckling of axially functionally graded (AFG) tapered beams. The governing equations are obtained from the kinematic assumptions of Timoshenko beam theory and Hamilton's principle. The isogeometric analysis approach is implemented to solve the motion equations.
View Article and Find Full Text PDFBackground: Disinfection of the root canal system is a challenge to all clinicians, calcium hydroxide Ca(OH) one of the most popular intracanal medications used for this purpose, has some unwanted effects on dentine. This study aimed to investigate the antibiofilm effect of Nanochitosan (CSNPs) and Calcium hydroxide Ca(OH) intra canal medications and their effect on the microhardness and chemical structure of radicular dentine.
Methodology: A total of 52 extracted human mandibular premolars were used.
Cisplatin is a widely used chemotherapeutic agent, but its clinical utility is limited by side effects affecting different systems and organs, including hepatotoxicity in some cases. Baicalin, a flavonoid isolated from Scutellaria baicalensis, possesses antioxidant, anti-inflammatory and hepatoprotective properties, but its low bioavailability limits its therapeutic use. This study aimed to investigate whether a nanoemulsion formulation of baicalin could enhance its efficacy against cisplatin-induced hepatic injury in rats.
View Article and Find Full Text PDFBlood cancer is among the critical health concerns among people around the world and normally emanates from genetic and environmental issues. Early detection becomes essential, as the rate of death associated with it is high, to ensure that the rate of treatment success is up, and mortality reduced. This paper focuses on improving blood cancer diagnosis using advanced deep learning techniques like ResNetRS50, RegNetX016, AlexNet, Convnext, EfficientNet, Inception_V3, Xception, and VGG19.
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