Lately, there has been increased research performed in Egypt. In response, the Egyptian Parliament published its first clinical research law in December 2020. The official version of the law was translated to English from Arabic and back by an accredited translation service. We performed an ethical analysis of the law based on the seven ethical requirements for clinical research proposed by Emanuel et al. and compared it with other regulations in the Arab region. The law contains provisions that fulfill all requirements for ethical research to varying degree. Provisions necessitating the sharing of participants' data and biospecimens by the Central Intelligence Agency requires further specifications to ensure privacy protection. Also, the law poses problematic liabilities that could hamper medical research. Egypt's law compares favorably with other laws in the region. Potential items that require further specification can be addressed in the executive regulations currently being drafted for the law.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398927 | PMC |
http://dx.doi.org/10.1177/15562646221096188 | DOI Listing |
Artificial intelligence (AI), defined as algorithms built to reproduce human behavior, has various applications in health care such as risk prediction, medical image classification, text analysis, and complex disease diagnosis. Due to the increasing availability and volume of data, especially from electronic health records, AI technology is expanding into all fields of nursing and medicine. As the health care system moves toward automation and computationally driven clinical decision-making, nurses play a vital role in bridging the gap between the technological output, the patient, and the health care team.
View Article and Find Full Text PDFPurpose: Craniopharyngiomas (CPs) often lead to growth hormone deficiency (GHD) in children. Growth hormone replacement therapy (GHRT) is essential for managing GHD but its impact on body mass index (BMI) and metabolic outcomes is controversial. Concerns exist that GHRT might contribute to tumor recurrence, with guidelines varying on when to start therapy post-surgery.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
Department of Forest, Environment, and Climate Change, Chilika Development Authority, Barkul, Odisha, India.
Chlorophyll-a (Chla) is recognized as a key indicator of water quality and ecological health in aquatic ecosystems, offering valuable insights into ecosystem dynamics and changes over time. This study aimed to to develop and validate a robust ML model for estimating Chla using Landsat data, produce a time series of Chl a maps, and analyze the spatiotemporal variability of Chla in Chilika Lagoon, Asia's largest brackish water lagoon. Nine ML regression models, including Extreme Gradient Boost, Support Vector Regression, Random Forest, and Bagging Regression, were evaluated using Landsat imagery and field data.
View Article and Find Full Text PDFSupport Care Cancer
December 2024
Division of Legal Medicine, Shiga University of Medical Science, Otsu, Japan.
Objective: This study aimed to explore the social factors of patients and caregivers, including those related to their wishes for home-based end-of-life care that influence its fulfillment.
Methods: A secondary analysis was conducted using the dataset (home-based end-of-life care N = 625, hospital end-of-life care N = 7603) Comprehensive patient-based survey conducted by The Study on Quality Evaluation of Hospice and Palliative Care by Bereaved Caregivers (J-HOPE 4) and multivariate analysis (multiple logistic regression) to explore the impact of social factors of patients and caregivers on the fulfillment of home-based end-of-life care. The explanatory variables included 11 social factors of patients, such as age and sex, and 18 social factors of primary caregivers.
J Cancer Res Clin Oncol
December 2024
Department of Respiratory Medicine, The Fuyang Affiliated Hospital of Anhui Medical University, Fuyang, 236000, Anhui, China.
Purpose: This study aims to investigate the biological roles and molecular mechanisms of Cathepsin G (CTSG) in the progression of non-small cell lung cancer (NSCLC).
Methods: Western blotting and immunohistochemistry analyses of clinical samples were performed to determine the expression levels of CTSG in patients with NSCLC. Bioinformatic analysis of clinical datasets was conducted to evaluate the correlation between CTSG and lymph node metastasis, tumor stage, and immune cell infiltration.
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