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Development of an in vivo ovarian cancer peritoneal carcinomatosis model for radioimmunotherapy testing.
Methods Cell Biol
January 2025
Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, Institut régional du Cancer de Montpellier (ICM), Montpellier, France. Electronic address:
Currently, Ovarian Cancer (OC) is the most lethal gynecological malignancy. In most patients, it progresses without clinical signs or symptoms, leading to a late diagnosis when it has already spread in the peritoneal cavity as peritoneal carcinomatosis (PC). To date, OC PC management is based on cytoreductive surgery to remove the macroscopic disease, followed by chemotherapy.
View Article and Find Full Text PDFBSN Learning Pathways: A Leadership Collaboration to Prepare and Retain New Nurses in Specialized Practice Areas.
Nurs Leadersh (Tor Ont)
June 2025
Current nursing shortages, particularly in complex practice or specialty areas, coupled with high attrition rates of both seasoned and new graduate nurses, have required nursing leaders to consider creative approaches to recruit, prepare and retain nurses in specialty areas. This article describes a collaborative partnership between post-secondary institutions and health authorities in one province to address the need to prepare and retain nurses in high-priority specialized areas, such as the intensive care unit or the emergency department. This partnership allows for a proactive connection that leverages the strengths and resources of both healthcare and educational institutions.
View Article and Find Full Text PDFArtificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications.
J Clin Med
January 2025
Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding of the brain, unlocking new possibilities in research, diagnosis, and therapy. This review explores how AI's cutting-edge algorithms-ranging from deep learning to neuromorphic computing-are revolutionizing neuroscience by enabling the analysis of complex neural datasets, from neuroimaging and electrophysiology to genomic profiling. These advancements are transforming the early detection of neurological disorders, enhancing brain-computer interfaces, and driving personalized medicine, paving the way for more precise and adaptive treatments.
View Article and Find Full Text PDFA Senescent Cluster in Aged Human Hematopoietic Stem Cell Compartment as Target for Senotherapy.
Int J Mol Sci
January 2025
Department of Medicine V, Heidelberg University, 69117 Heidelberg, Germany.
To identify the differences between aged and young human hematopoiesis, we performed a direct comparison of aged and young human hematopoietic stem and progenitor cells (HSPCs). Alterations in transcriptome profiles upon aging between humans and mice were then compared. Human specimens consist of CD34+ cells from bone marrow, and mouse specimens of hematopoietic stem cells (HSCs; Lin- Kit+ Sca1+ CD150+).
View Article and Find Full Text PDFHallmarks of DNA Damage Response in Germination Across Model and Crop Species.
Genes (Basel)
January 2025
Department of Biology and Biotechnology 'L. Spallanzani', University of Pavia, via Ferrata 9, 27100 Pavia, Italy.
DNA damage response (DDR) contributes to seed quality by guarding genome integrity in the delicate phases of pre- and post-germination. As a key determinant of stress tolerance and resilience, DDR has notable implications on the wider scale of the agroecosystems challenged by harsh climatic events. The present review focuses on the existing and documented links that interconnect DDR efficiency with an array of molecular hallmarks with biochemical, molecular, and physiological valence within the seed metabolic networks.
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