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http://dx.doi.org/10.1016/j.jaad.2005.01.137 | DOI Listing |
J Cancer Educ
January 2025
Department of Pharmacy, Al Rafidain University College, 10001, Baghdad, Iraq.
Chemotherapy-drug interactions (CDIs) pose significant challenges in oncology, affecting treatment efficacy and patient safety. Despite their importance, there is a lack of validated tools to assess oncologists' knowledge of CDIs. This study aimed to develop and validate a comprehensive questionnaire to address this gap and ensure the reliability and validity of the instrument.
View Article and Find Full Text PDFDermatol Ther (Heidelb)
January 2025
Department of Biomedical and Dental Sciences and Morphofunctional Imaging, Section of Dermatology, University of Messina, 98125, Messina, Italy.
Introduction: Patients with psoriasis (PsO) and permanent spinal cord injuries (SCI) resulting in paraplegia and tetraplegia may experience a higher rate of infections compared to patients with PsO without SCI. It can result in further challenges for therapeutic management with immunosuppressants (biological and non-biological treatments). Thus, we aimed to evaluate the rate of infections in patients with PsO and SCI treated with systemic immunosuppressants.
View Article and Find Full Text PDFEur J Orthop Surg Traumatol
January 2025
Shonan Kamakura General Hospital, Kamakura, Japan.
Introduction: Blunt brachial artery injuries (BAI) require reconstruction with an extensive vein graft due to the wide area of arterial damage. In the upper arm, safe options for pedicle flaps are limited, and selecting recipient vessels for free-flap surgery is challenging, complicating the treatment of soft tissue injuries associated with blunt BAI. This study aimed to analyze the characteristics and soft tissue reconstruction of blunt BAI and propose treatment strategies for treating associated soft tissue injuries.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Computer Science Department, University of Geneva, Geneva, Switzerland.
Accurate wound segmentation is crucial for the precise diagnosis and treatment of various skin conditions through image analysis. In this paper, we introduce a novel dual attention U-Net model designed for precise wound segmentation. Our proposed architecture integrates two widely used deep learning models, VGG16 and U-Net, incorporating dual attention mechanisms to focus on relevant regions within the wound area.
View Article and Find Full Text PDFGenes Genomics
January 2025
Department of Smart Farm and Agricultural Industry, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Background: Next-generation sequencing has revolutionized genome science over the last two decades. Indeed, the wealth of sequence information on our genome has deepened our understanding on cancer. Cancer is a genetic disease caused by genetic or epigenetic alternations that affect the expression of genes that control cell functions, particularly cell growth and division.
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