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Magnetic Nanoparticles

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ISBN: 9783039282685 9783039282692 Year: Pages: 406 DOI: 10.3390/books978-3-03928-269-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General)
Added to DOAB on : 2020-04-07 23:07:08
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Abstract

The present book covers all research areas related to magnetic nanoparticles, magnetic nanorods, and other magnetic nanospecies, their preparation, characterization, and various applications, specifically emphasizing biomedical applications. The chapters written by the leading experts cover different subareas of the science and technology related to various magnetic nanospecies—providing broad coverage of this multifaceted area and its applications. The different topics addressed in this book will be of great interest to the interdisciplinary community active in the area of nanoscience and nanotechnology. It is hoped that this collection and its various chapters will be important and beneficial for researchers and students working in various areas related to bionanotechnology, materials science, biosensor applications, medicine, and many others. Furthermore, this book is aimed at attracting young scientists and introducing them to this field, in addition to providing newcomers with an enormous collection of literature references.

Keywords

cellulase immobilization --- magnetic nanoparticles --- stability --- functionalized nanoparticles --- green chemistry --- magnetic nanoparticles --- enzyme immobilization --- controlled drug delivery --- supporting materials --- iron oxide nanoclusters --- superparticles --- magnetically responsive photonic crystals --- collective behaviors --- magnetic separation --- bioimaging --- magnetic Janus particles --- (bio)sensing --- static --- self-propelled --- magnetic nanoparticles --- iron oxide --- pharmaceutics --- magnetism --- therapy --- development --- nanotechnology --- magnetic nanoparticles (MNPs) --- cancer biomarkers --- MNPs synthesis --- MNPs functionalization --- sensors --- cancer detection --- cancer treatment --- cancer screening --- magnetic/targeted drug delivery --- optical sensor --- magnetic nanoparticle --- imaging --- surface plasmon resonance --- surface-enhanced Raman spectroscopy --- fluorescence spectroscopy --- near infrared spectroscopy --- extracellular vesicles --- superparamagnetic iron oxide nanoparticles --- magnetic resonance imaging (MRI) --- magnetic nanoparticles --- magnetic nanowires --- magnetic nanotubes --- core-shell composition --- biosensors --- Magnetic bead --- marine toxin --- toxin capture --- toxin detection --- antibody --- aptamer --- immunoassay --- immunosensor --- electrochemical biosensor --- magnetic nanoparticles --- surface functionalization --- immobilization support --- separation probe --- analytical platform --- food safety --- magnetic particles --- sensor --- biomarkers --- cells/cancer cells --- food analytes --- pathogens --- pharmaceuticals --- real sample matrices --- optical --- electrochemical --- surface sensitive methods --- NiCu magnetic nanoparticles --- physical and chemical methods --- surface modification --- biomedicine --- magnetic hyperthermia --- curie temperature --- magnetic hyperthermia --- cancer --- nanoparticles --- magnetic relaxation --- magnetic anisotropy --- heat generation --- multifunctional nanoparticles --- graphene oxide --- photothermal therapy --- magnetic nanoparticle systems --- bio-ferrofluids --- nanomedicine --- single core --- multi-core --- synthesis --- functional coating --- physical-chemical properties --- structural characterization --- magnetorheology --- magnetic nanoparticles --- nanocarriers --- controlled drug delivery --- high-resolution medical imaging --- cancer biomarkers --- circulating cancer cells --- fluorescent probes --- magnetite --- superparamagnetism --- biodetection --- magnetofection --- imaging --- therapy --- tissue engineering --- n/a

Application of Bioinformatics in Cancers

Author:
ISBN: 9783039217885 9783039217892 Year: Pages: 418 DOI: 10.3390/books978-3-03921-789-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-12-09 11:49:16
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Abstract

This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible.

Keywords

comorbidity score --- mortality --- locoregionally advanced --- HNSCC --- curative surgery --- traditional Chinese medicine --- health strengthening herb --- cancer treatment --- network pharmacology --- network target --- high-throughput analysis --- brain metastases --- colorectal cancer --- KRAS mutation --- PD-L1 --- tumor infiltrating lymphocytes --- drug resistance --- gefitinib --- erlotinib --- biostatistics --- bioinformatics --- Bufadienolide-like chemicals --- molecular mechanism --- anti-cancer --- bioinformatics --- cancer --- brain --- pathophysiology --- imaging --- machine learning --- extreme learning --- deep learning --- neurological disorders --- pancreatic cancer --- TCGA --- curation --- DNA --- RNA --- protein --- single-biomarkers --- multiple-biomarkers --- cancer-related pathways --- colorectal cancer --- DNA sequence profile --- Monte Carlo --- mixture of normal distributions --- somatic mutation --- tumor --- mutable motif --- activation induced deaminase --- AID/APOBEC --- transcriptional signatures --- copy number variation --- copy number aberration --- TCGA mining --- cancer CRISPR --- firehose --- gene signature extraction --- gene loss biomarkers --- gene inactivation biomarkers --- biomarker discovery --- chemotherapy --- microarray --- ovarian cancer --- predictive model --- machine learning --- overall survival --- observed survival interval --- skin cutaneous melanoma --- The Cancer Genome Atlas --- omics --- breast cancer prognosis --- artificial intelligence --- machine learning --- decision support systems --- cancer prognosis --- independent prognostic power --- omics profiles --- histopathological imaging features --- cancer --- intratumor heterogeneity --- genomic instability --- epigenetics --- mitochondrial metabolism --- miRNAs --- cancer biomarkers --- breast cancer detection --- machine learning --- feature selection --- classification --- denoising autoencoders --- breast cancer --- feature extraction and interpretation --- concatenated deep feature --- cancer modeling --- interaction --- histopathological imaging --- clinical/environmental factors --- oral cancer --- miRNA --- bioinformatics --- datasets --- biomarkers --- TCGA --- GEO DataSets --- hormone sensitive cancers --- breast cancer --- StAR --- estrogen --- steroidogenic enzymes --- hTERT --- telomerase --- telomeres --- alternative splicing --- network analysis --- hierarchical clustering analysis --- differential gene expression analysis --- cancer biomarker --- diseases genes --- variable selection --- false discovery rate --- knockoffs --- bioinformatics --- copy number variation --- cell-free DNA --- methylation --- mutation --- next generation sequencing --- self-organizing map --- head and neck cancer --- treatment de-escalation --- HP --- molecular subtypes --- tumor microenvironment --- Bioinformatics tool --- R package --- machine learning --- meta-analysis --- biomarker signature --- gene expression analysis --- survival analysis --- functional analysis --- bioinformatics --- machine learning --- artificial intelligence --- Network Analysis --- single-cell sequencing --- circulating tumor DNA (ctDNA) --- Neoantigen Prediction --- precision medicine --- Computational Immunology

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MDPI - Multidisciplinary Digital Publishing Institute (2)


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CC by-nc-nd (2)


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english (2)


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2020 (1)

2019 (1)