The fused deposition modeling (FDM) technique has enormous potential for developing customized medical products with complicated structures. In this study, the application of the FDM technique to three medical products was investigated, and the risk factors affecting product quality were evaluated. For FDM-printed matrix and reservoir preparations, special attention should be paid to spacing width reduction and layered coating thickness. Therefore, spacing printing fidelity and interlayer bonding strength was established as unique indexes to characterize the effectiveness and safety of FDM-printed medicine. For FDM-printed orthopedic implants, layer height affected the dimensional deviation of surface morphology, which could be digitally evaluated. Moreover, internal structure affected the biomechanical behavior, which could be investigated using in silico simulation. The results reveal the broad application of FDM technology in customized medical products and might help to establish scientific and reasonable evaluation systems for them.
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http://dx.doi.org/10.1016/j.ijpharm.2023.122999 | DOI Listing |
Pharmazie
December 2024
Centre of Excellence for Pharmaceutical Sciences (Pharmacen™), North-West University, Potchefstroom, Republic of South Africa.
The COVID-19 pandemic caused global pandemonium, and due to an unprecedented global response, the popularity and use of (veterinary) ivermectin, amongst many other conceivable 'treatments', experienced a meteoric rise. Ivermectin is a macrocyclic lactone compound belonging to the avermectin drug class and is a registered medicine in many countries, although the most common use is as veterinary medicine. In this study, a fast HPLC method was developed and validated for the quantification of ivermectin in veterinary products that were used off-label by a substantial number of people during COVID-19.
View Article and Find Full Text PDFInflammation
January 2025
The Key Laboratory of Spine and Spinal Cord Disease of Jiangxi Province, Nanchang, 330006, China.
Inflammatory bone resorption represents a pathological condition marked by an increase in bone loss, commonly associated with chronic inflammatory conditions such as rheumatoid arthritis and periodontitis. Current therapies primarily focus on anti-inflammatory drugs and bisphosphonates; however, these treatments are limited due to side effects, inadequate efficacy, and unpredictable long-term complications. Kurarinone (KR), a bioactive compound isolated from the traditional Chinese herb Sophora flavescens, exhibits a range of biological activities, including anti-inflammatory, anticancer, and cardiovascular protective effects.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Biology, Hamilton College, Clinton, NY, USA.
Perfluorooctane sulfonic acid (PFOS) is an anthropogenic chemical found in aqueous film-forming foams (AFFFs) and many consumer products. Despite its environmental ubiquity and persistence, little is known about the effects of PFOS on stress levels in wild animals. Here, we examined PFOS bioaccumulation and correlations between PFOS exposure and oxidative stress in snapping turtles (Chelydra serpentina) downstream of Griffiss Air Force Base in Rome, New York, a known source of AFFF contamination.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Vision transformer (ViT)and convolutional neural networks (CNNs) each possess distinct strengths in medical imaging: ViT excels in capturing long-range dependencies through self-attention, while CNNs are adept at extracting local features via spatial convolution filters. While ViT may struggle with capturing detailed local spatial information, critical for tasks like anomaly detection in medical imaging, shallow CNNs often fail to effectively abstract global context. This study aims to explore and evaluate hybrid architectures that integrate ViT and CNN to leverage their complementary strengths for enhanced performance in medical vision tasks, such as segmentation, classification, reconstruction, and prediction.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Department of Orthopedic Surgery, Arrowhead Regional Medical Center, Colton, CA, USA.
Rib pathology is uniquely difficult and time-consuming for radiologists to diagnose. AI can reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no reviews have been performed synthesizing identification of rib fracture data on AI and its diagnostic performance on X-ray and CT scans of rib fractures and its comparison to physicians.
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