Results 71 to 80 of about 417,265 (343)
Molecular Oncology, EarlyView.The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens +8 more
wiley +1 more source
AIMS Molecular Science, 2018 Considering tumor progression from a biologic perspective, it represents the acquisition of new capabilities relevant for a neoplasm to extend: invasion of the underlying stroma for intraepithelial lesions and the metastatic potential of already invasive
Fatima Al-Hashimi, Salvador J. Diaz-Cano
doaj +1 more source
Molecular Oncology, EarlyView.Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever +1 more
wiley +1 more source
Lung cancer specimen guidelines for handling and reporting
Annals of Thoracic Medicine, 2008 The proper handling of a lung specimen by a competent pathologist is the most important step to reach an accurate diagnosis and to generate a comprehensive pathology report that will characterize patient management and prognosis.
Bamefleh Hanaa
doaj
Global-Local Metamodel Assisted Two-Stage Optimization via Simulation [PDF]
arXiv, 2019 To integrate strategic, tactical and operational decisions, the two-stage optimization has been widely used to guide dynamic decision making. In this paper, we study the two-stage stochastic programming for complex systems with unknown response estimated by simulation.
arxiv
Subpar reporting of pre‐analytical variables in RNA‐focused blood plasma studies
Molecular Oncology, EarlyView.Pre‐analytical variables strongly influence the analysis of extracellular RNA (cell‐free RNA; exRNA) derived from blood plasma. Their reporting is essential to allow interpretation and replication of results. By evaluating 200 exRNA studies, we pinpoint a lack of reporting pre‐analytical variables associated with blood collection, plasma preparation ...
Céleste Van Der Schueren +16 more
wiley +1 more source
GAME SIMULATION AS A MEAN OF TEACHING RESEARCH ACTIVITY
Наука Красноярья, 2015 This article describes the procedures for play model implementing which were identified during the investigation of the problem of creating a consulting service of the University, carried out on the basis of the pedagogical faculty of Baranovichi State ...
Zoya Vladimirovna Lukashenya
doaj +1 more source
Multi-Stage Transfer Learning with an Application to Selection Process [PDF]
arXiv, 2020 In multi-stage processes, decisions happen in an ordered sequence of stages. Many of them have the structure of dual funnel problem: as the sample size decreases from one stage to the other, the information increases. A related example is a selection process, where applicants apply for a position, prize, or grant.
arxiv
Molecular Oncology, EarlyView.Cancer‐associated fibroblasts (CAFs) promote cancer growth, invasion (metastasis), and drug resistance. Here, we identified functional and diverse circulating CAFs (cCAFs) in patients with metastatic prostate cancer (mPCa). cCAFs were found in higher numbers and were functional and diverse in mPCa patients versus healthy individuals, suggesting their ...
Richell Booijink +6 more
wiley +1 more source
ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference [PDF]
arXiv, 2020 Dynamic inference is a feasible way to reduce the computational cost of convolutional neural network(CNN), which can dynamically adjust the computation for each input sample. One of the ways to achieve dynamic inference is to use multi-stage neural network, which contains a sub-network with prediction layer at each stage.
arxiv