Publications by authors named "V Olaru"

Nowadays, the management of prostate cancer has become more and more challenging due to the increasing number of available treatment options, therapeutic agents, and our understanding of its carcinogenesis and disease progression. Moreover, currently available risk stratification systems used to facilitate clinical decision-making have limitations, particularly in providing a personalized and patient-centered management strategy. Although prognosis and prostate cancer-specific survival have improved in recent years, the heterogenous behavior of the disease among patients included in the same risk prognostic group negatively impacts not only our clinical decision-making but also oncological outcomes, irrespective of the treatment strategy.

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We report the genome sequence of bacteriophage NathanVaag, an actinobacteriophage isolated from soil in El Paso, Texas, that infects sp. strain ATCC 21022. The 49,645-bp genome contains 73 predicted protein-coding genes.

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Introduction: Retroperitoneal seminoma is a very rare form of cancer, with embryological origin represented by primordial germ cells from the urogenital ridges left behind during the fetal development. Extragenital germ cell tumors can also occur in the mediastinum or the pineal gland. The aim of this paper is to outline the particularities and draw embryological, histopatological and treatment conclusions regarding extragonadal germ cell tumors.

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Background: Urological complications such as ureteral strictures and ureteral leakage can affect the outcome of kidney transplantation by increasing morbidity and mortality, including graft loss. Controversy still exists regarding the role of stents in renal transplantation. The aim of this study was to evaluate the role of ureteral stenting in kidney transplantation.

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We introduce a new dataset, Human3.6M, of 3.6 Million accurate 3D Human poses, acquired by recording the performance of 5 female and 6 male subjects, under 4 different viewpoints, for training realistic human sensing systems and for evaluating the next generation of human pose estimation models and algorithms.

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