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Comparison of Research Knowledge in Postgraduate Trainees of Clinical and Basic Health Sciences of a Tertiary Healthcare Setup: A Qualitative and Quantitative Assessment.
Cureus
December 2024
Pharmacy Practice, Ziauddin University, Karachi, PAK.
Background: All recent advances in healthcare, including diagnostics, surveillance, management, and disease prevention, have depended on good-quality research that has brought new information to light. Therefore, in Pakistan, it is important to develop good research skills as, for many years, our physicians have relied on research knowledge from the Western world, which does not necessarily provide solutions to a developing country. Considering the gap in research knowledge among young doctors, the study was planned to compare the research knowledge of postgrad trainees of clinical and basic health sciences (BHS) of private tertiary care hospitals in Karachi.
View Article and Find Full Text PDFOptimizing inpatient diabetes management with the diabetes dashboard.
JBI Evid Implement
January 2025
Queensland Digital Health Centre, Centre for Health Services Research, Faculty of Medicine, The University of Queensland, Brisbane, Qld, Australia.
Abstract: Inpatient diabetes management presents a complex challenge that is distinct from outpatient management. This is due to acute changes in physiology, medication regimens, and eating patterns associated with hospitalization, alongside the condition's prevalent and variable nature. The conventional systems for managing glycemic control in hospital have been found lacking, with gaps in data integration, decision support, and timely intervention.
View Article and Find Full Text PDFThe potential role of synthetic computed tomography in spinal surgery: generation, applications, and implications for future clinical practice.
Asian Spine J
December 2024
National Spinal Injuries Unit, Mater Misericordiae University Hospital, Dublin, Ireland.
Computed tomography (CT) is widely used for the diagnosis and surgical treatment of spinal pathologies, particularly for pedicle screw placement. However, CT's limitations, notably radiation exposure, necessitate the development of alternative imaging techniques. Synthetic CT (sCT), which generates CT-like images from existing magnetic resonance imaging (MRI) scans, offers a promising alternative to reduce radiation exposure.
View Article and Find Full Text PDFThe role of tribbles homolog 2 in cell proliferation.
Cell Commun Signal
January 2025
School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Tribbles homolog 2 (TRIB2), a pseudoserine/threonine kinase, is a member of the TRIB family. TRIB2 primarily regulates cell proliferation through its scaffold or adaptor effect on promoting the degradation of target proteins by E3 ligase-dependent ubiquitination and regulating mitogen-activated protein kinase (MAPK) and protein kinase B (AKT) signaling pathways. TRIB2 is not only involved in the physiological proliferation of cells (granulosa cells, myoblasts, naive T cells, and thymocytes) during normal development but also in the pathological proliferation of vascular smooth muscle cells and a variety of cancer cells (lung cancer cells, liver cancer cells, leukemia cells, pancreatic cancer cells, gastric cancer cells, prostate cancer cells, thyroid cancer cells, cervical cancer cells, melanoma cells, colorectal cancer cells, ovarian cancer cells and osteosarcoma cells) under disease conditions.
View Article and Find Full Text PDFDeep learning-based prediction of HER2 status and trastuzumab treatment efficacy of gastric adenocarcinoma based on morphological features.
J Transl Med
January 2025
Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, China.
Background: First-line treatment for advanced gastric adenocarcinoma (GAC) with human epidermal growth factor receptor 2 (HER2) is trastuzumab combined with chemotherapy. In clinical practice, HER2 positivity is identified through immunohistochemistry (IHC) or fluorescence in situ hybridization (FISH), whereas deep learning (DL) can predict HER2 status based on tumor histopathological features. However, it remains uncertain whether these deep learning-derived features can predict the efficacy of anti-HER2 therapy.
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