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The analysis of circulating tumor cells (CTCs) as a real-time liquid biopsy approach can be used to obtain new insights into metastasis biology, and as companion diagnostics to improve the stratification of therapies and to obtain insights into the therapy-induced selection of cancer cells. In this book, we will cover all the different facets of CTCs to assemble a huge corpus of knowledge on cancer dissemination: technologies for their enrichment, detection, and characterization; their analysis at the single-cell level; their journey as CTC microemboli; their clinical relevance; their biology with the epithelial-to-mesenchymal transition (EMT); their stem-cell properties; their potential to initiate metastasis at distant sites; their ex vivo expansion; and their escape from the immune system.
Cancer is a multifaceted disease and overwhelmingly increasing experimental evidence has helped us to develop a deeper understanding of the role of signal transduction cascades in cancer development and progression. Tissue microarrays and next generation sequencing technologies have assisted us to gather missing pieces of jigsaw puzzle and we now know that deregulation of spatio-temporally controlled signaling cascades play fundamental role in metastasis and resistance against wide ranging therapeutics. This book offers a balanced overview of the rapidly emerging cutting edge research in molecular oncology and good source of knowledge for established oncologists, basic and medical students and pharmaceutical industry associated R&D departments.
"Education, arts and social sciences, natural and technical sciences in the United States and Canada".
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An introduction to the emerging field of cancer physics, integrating cancer biology with approaches from theoretical and applied physics.
This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).
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