Many cancers have displayed resistance to chemotherapeutic drugs over the past few decades. EGFR has emerged as a leading target for cancer therapy inhibiting tumor angiogenesis. Besides, studies strongly suggest that blocking telomerase activity could be an effective way to control the growth of certain cancer cells.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
January 2025
Purpose: This article introduces a novel deep learning approach to substantially improve the accuracy of colon segmentation even with limited data annotation, which enhances the overall effectiveness of the CT colonography pipeline in clinical settings.
Methods: The proposed approach integrates 3D contextual information via guided sequential episodic training in which a query CT slice is segmented by exploiting its previous labeled CT slice (i.e.
Hematol Oncol Clin North Am
January 2025
This review explores the applications of artificial intelligence and machine learning (AI/ML) in radiation oncology, focusing on computer vision (CV) and natural language processing (NLP) techniques. We examined CV-based AI/ML in digital pathology and radiomics, highlighting the prospective clinical studies demonstrating their utility. We also reviewed NLP-based AI/ML applications in clinical documentation analysis, knowledge assessment, and quality assurance.
View Article and Find Full Text PDFIntroduction And Objectives: Clinical studies have shown favorable outcomes following use of platelet rich fibrin (PRF), either alone or in conjunction with biomaterials for alveolar ridge reconstruction (ARR) or guided bone regeneration (GBR) . While PRF application accelerates wound healing and reduces postoperative discomfort, its effects on the alveolar bone gain, as part of ARR or GBR is less clear. Therefore, this study aims to investigate the clinical effectiveness of PRF when used in ARR or GBR, as well as postoperative discomfort following these procedures.
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