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Precision/personalized medicine in oncology has two key pillars: molecular profiling of the tumors and personalized reporting of the results in ways that are clinically contextualized and triangulated. Moreover, neurosurgery as a field stands to benefit from precision/personalized medicine and new tools for reporting of the molecular findings. In this context, glioblastoma (GBM) is a highly aggressive brain tumor with limited treatment options and poor prognosis. Precision/personalized medicine has emerged as a promising approach for personalized therapy in GBM. In this study, we performed whole exome sequencing of tumor tissue samples from six newly diagnosed GBM patients and matched nontumor control samples. We report here the genetic alterations identified in the tumors, including single nucleotide variations, insertions or deletions (indels), and copy number variations, and attendant mutational signatures. Additionally, using a personalized cancer genome-reporting tool, we linked genomic information to potential therapeutic targets and treatment options for each patient. Our findings revealed heterogeneity in genetic alterations and identified targetable pathways, such as the pathway. This study demonstrates the prospects of precision/personalized medicine in GBM specifically, and neurosurgical oncology more generally, including the potential for genomic profiling coupled with personalized cancer genome reporting. Further research and larger studies are warranted to validate these findings and advance the treatment options and outcomes for patients with GBM.
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http://dx.doi.org/10.1089/omi.2023.0117 | DOI Listing |
Adv Exp Med Biol
August 2025
Department of Physiology, Faculty of Medicine, University of Valencia, Valencia, Spain.
Frailty is a major concern in gerontology and geriatrics as it may lead to disability. At the time of writing this review, 30% of the population over 65 in Europe (an in other parts of the world) are dependent on the care of other persons. It is estimated that this percentage may grow to 50% by 2050.
View Article and Find Full Text PDFJ Pharm Bioallied Sci
June 2025
Department of General Dentistry, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Saudi Arabia.
Background: Artificial intelligence (AI) technologies have increasingly been incorporated into general dentistry, offering potential advancements in diagnostic accuracy, patient care, and communication.
Methods: A systematic review and meta-analysis were conducted to evaluate the effects of AI-driven technologies on patient satisfaction in general dentistry. Studies published between January 2010 and the present were included, focusing on AI applications such as diagnostic tools, virtual assistants, robotic systems, and teledentistry.
Bioengineering (Basel)
April 2025
Fudan University Academy for Engineering and Technology, Shanghai 200000, China.
Cranio-maxillofacial bone defect repair poses significant challenges in oral and maxillofacial surgery due to the complex anatomy of the region and its substantial impact on patients' physiological function, aesthetic appearance, and quality of life. Inaccurate reconstruction can result in serious complications, including functional impairment and psychological trauma. Traditional methods have notable limitations for complex defects, underscoring the need for advanced computational approaches to achieve high-precision personalized reconstruction.
View Article and Find Full Text PDFAdv Healthc Mater
August 2025
Pharmaceutical Sciences Division, University of Wisconsin School of Pharmacy, Madison, WI, 53705, USA.
Peptides are an emerging class of biologics for cancer immunotherapy; however, their clinical translation is hindered by poor binding kinetics, bioavailability, and short plasma half-life compared to their corresponding antibodies. Nanoparticles present potential solutions but face scale-up difficulties due to complexity. Here, a translatable, modular nanoparticle scaffold is presented for peptide-based immune checkpoint inhibitors (ICIs).
View Article and Find Full Text PDFGastrointest Endosc Clin N Am
April 2025
Division of Gastroenterology and Hepatology, Center for Advanced Therapeutic Endoscopy, University of Rochester Medical Center, 601 Elmwood Avenue, Box 646, Rochester, NY 14642, USA. Electronic address:
Over the past 5 decades, artificial intelligence (AI) has evolved rapidly. Moving from basic models to advanced machine learning and deep learning systems, the impact of AI on various fields, including medicine, has been profound. In gastroenterology, AI-driven computer-aided detection and computer-aided diagnosis systems have revolutionized endoscopy, imaging, and pathology detection.
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