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Segmentation of Dynamic Contrast-Enhanced Magnetic Resonance Images of the Prostate
[article]
2017
arXiv
pre-print
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Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a valuable tool to localize, characterize, and evaluate anomalous prostate tissue. Ultrafast gradient-echo acquisitions of MRI volumes are generated at regular time intervals while the patient receives a paramagnetic contrast agent. The result is a time series where each voxel exhibits a particular behavior of contrast uptake (wash-in) and posterior wash-out. In this work, a segmentation method is proposed that groups together
arXiv:1710.03396v1
fatcat:h74keg7tuzcjrh5i3cisg2xa2y
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... ghboring voxels with similar contrast wash-out responses, using a variant of the region growing GrowCut cellular automaton algorithm, that evolves iteratively according to the relationship of a cell to its neighboring cells. Initially, seed cells are determined through morphological filters that identify homogeneous regions in the volume that are representatives of the clinically relevant types of tissues in the prostate. Each cell is characterized by three parameters: a label that identifies the type of tissue in the associated voxel, a vector with the values of the DCE-MRI time series, and a strength coefficient with values between 0 and 1 that represents the probability with which the cell belongs to its assigned label. Every non-seed cell can modify its state; this occurs when each cell is attacked by its neighbors with a strength of attack that is inversely proportional to the similarity of the values of the time series between the cells. If the strength of the attacked cell is less than the strength of the attack of one of its neighbors, its state changes to the one of the attacking cell. The attacked cell also updates its strength making it equal to the strength of the attack with which it was conquered. To perform a clinical validation of the resulting segmentations, we used various cases from the database of The Cancer Imaging Archive (TCIA), National Cancer Institute (NCI).
The Effect of Globalization on Economic Development Indicators: An Inter-Regional Approach
2020
Sustainability
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The analysis of the problems derived from globalization has become one of the most densely studied topics at the beginning of this millennium, as they can have a crucial impact on present and future sustainable development. This paper analyzes the differential patterns of globalization in four worldwide areas predefined by The World Bank (namely, High-, Upper-Middle-, Lower-Middle-, and Low-Income countries). The main objective of this work is to estimate the effect of globalization on some
doi:10.3390/su12051942
fatcat:2v2zi3pqgzhibfoh74g3727noq
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... omic development indicators (specifically per capita income and public expenditure on health) in 217 countries over the period 2000–2016. Methods: Our empirical approach is based on the implementation of a novel econometric methodology: The so-called Toda–Yamamoto procedure, which has been used to analyze the possible causal relationships between the involved variables. We employ World Development Indicators, provided by The World Bank, and the KOF Globalization Index, elaborated by the KOF Swiss Economic Institute. Results: The results show that there is a causal relationship in the sense of Granger between globalization and public expenditure on health, except in High-Income countries. This can be interpreted both negatively and positively, confirming the double character of globalization, as indicated by Stiglitz.
Abordajes quirúrgicos de aorta: visión práctica para residentes
2015
Cirugía Cardiovascular
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miRNAgFree: prediction and profiling of novel microRNAs without genome assembly
[article]
2017
bioRxiv
pre-print
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The prediction of novel miRNA genes generally requires the availability of genome sequences in order to assess important properties such as the characteristic hairpin-shaped secondary structure. However, although the sequencing costs have decreased over the last years, still many important species lack an assembled genome of certain quality. We implemented an algorithm which for the first time exploits characteristic biogenesis features like the 5' homogeneity that can be assessed without
doi:10.1101/193094
fatcat:xj3iacpoabdq5c25eo42ldwavy
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... sequences. We used a phylogenetically broad spectrum of well annotated animal genomes for benchmarking. We found that between 90-100% of the most expressed miRNA candidates (top quartile) corresponded to known miRNA sequences.
Life Expectancy at Birth in Europe: An Econometric Approach Based on Random Forests Methodology
2020
Sustainability
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analysis using TS
Jiang et al. (2018) [20]
31 Chinese provinces
2000 and 2010
LE
CSR
Hill and Jorgenson (2018) [43]
50 US states and the District of
Columbia
2000, 2005, and 2010
LEAB
PR
Martín-Cervantes ...
doi:10.3390/su12010413
fatcat:x3o5mpz4dze5djuzko3jzhc7qy
Antecedentes sobre la Territorialidad en Colombia
[chapter]
2017
El control territorial en el siglo XXI: Fundamentos teóricos
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Luis Antonio Martín Moreno 5 TC. Luis Alberto Aparicio Rueda
Cr. (RA) Oscar Orlando López Barreto 6 En sí el Control Territorial para los Estados, continuará siendo un desafío. ...
doi:10.25062/9789585625204.02
fatcat:6a7sqtt5yvfyjfghryk6sb7np4
sRNAtoolbox: an integrated collection of small RNA research tools
2015
Nucleic Acids Research
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Small RNA research is a rapidly growing field. Apart from microRNAs, which are important regulators of gene expression, other types of functional small RNA molecules have been reported in animals and plants. MicroRNAs are important in host-microbe interactions and parasite microRNAs might modulate the innate immunity of the host. Furthermore, small RNAs can be detected in bodily fluids making them attractive non-invasive biomarker candidates. Given the general broad interest in small RNAs, and
doi:10.1093/nar/gkv555
pmid:26019179
pmcid:PMC4489306
fatcat:ff5jj7krwvb5xpm23xolo2f4nm
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... n particular microRNAs, a large number of bioinformatics aided analysis types are needed by the scientific community. To facilitate integrated sRNA research, we developed sRNAtoolbox, a set of independent but interconnected tools for expression profiling from high-throughput sequencing data, consensus differential expression, target gene prediction, visual exploration in a genome context as a function of read length, gene list analysis and blast search of unmapped reads. All tools can be used independently or for the exploration and downstream analysis of sRNAbench results. Workflows like the prediction of consensus target genes of parasite mi-croRNAs in the host followed by the detection of enriched pathways can be easily established. The webinterface interconnecting all these tools is available at http://bioinfo5.ugr.es/srnatoolbox
Complexity of brain tumors
2019
Physica A: Statistical Mechanics and its Applications
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2019 pre-print arXiv:1907.06124v1 fatcat:ipzu7mb74vftfof6t42r4xvywiOther Versions
Tumor growth is a complex process characterized by uncontrolled cell proliferation and invasion of neighboring tissues. The understanding of these phenomena is of vital importance to establish appropriate diagnosis and therapeutic strategy and starts with the evaluation of their complexity with suitable descriptors, such as those produced by scaling analysis. In the present work, scaling analysis is used for the extraction of dynamic parameters that characterize tumor growth processes in brain
doi:10.1016/j.physa.2019.122696
fatcat:djdwgr3e2zhapijll6aek4qydi
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... umors. The emphasis in the analysis is on the assessment of general properties of tumor growth, such as the Family-Vicsek ansatz, which includes a great variety of ballistic growth models. Results indicate in a definitive way that gliomas strictly behave as it is proposed by the ansatz, while benign tumors behave quite differently. As a complementary view, complex visibility networks derived from the tumor interface support these results and its use is introduced as a possible descriptor in the understanding of tumor growth dynamics.
Inteligencia artificial en Dermatología: ¿amenaza u oportunidad?
Inteligencia artificial en dermatología: ¿amenaza u oportunidad?
2021
Actas Dermo-Sifiliográficas
Inteligencia artificial en dermatología: ¿amenaza u oportunidad?
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The worldwide explosion of interest in artificial intelligence (AI) has created a before-and-after moment in our lives by generating great improvements in such sectors as the automotive and food production industries. AI has even been called the fourth industrial revolution. Machine learning through AI is helping to improve professional processes and promises to transform the health care sector as we know it in various ways: 1) through applications able to promote health in the general
doi:10.1016/j.ad.2021.07.003
pmid:35249709
fatcat:f2hgv6blhbar3fhxfohz2353x4
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... n by providing high-quality information and offering advice for different segments of the population based on prediction models; 2) by developing prediction models based on anonymized clinical data, for preventive purposes in primary care; 3) by analyzing images to provide additional decision-making support for health care providers, for improving specialist care at the secondary level; and 4) through robotics applied to processes that promote health and well-being. However, the medical profession harbors doubts about whether this revolution is a threat or an opportunity owing to a lack of understanding of AI technology and the methods used to validate its applications. This article outlines basic aspects of AI as it is applied in dermatology and reviews the main advances achieved in the last 5 years.
Metallofluorescent Nanoparticles for Multimodal Applications
2018
ACS Omega
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Herein, we describe the synthesis and application of cross-linked polystyrene-based dual-function nano- and microparticles containing both fluorescent tags and metals. Despite containing a single dye, these particles exhibit a characteristic dual-band fluorescence emission. Moreover, these particles can be combined with different metal ions to obtain hybrid metallofluorescent particles. We demonstrate that these particles are easily nanofected into living cells, allowing them to be used for
doi:10.1021/acsomega.7b01984
pmid:30023770
pmcid:PMC6044963
fatcat:zqf6slaw6fdwpofsiiwdscwovq
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... ctive fingerprinting in multimodal fluorescence-based and mass spectrometry-based flow cytometry experiments. Likewise, the in situ reductions of the metal ions enable other potential uses of the particles as heterogeneous catalysts.
Enhancement of Chemokine Function as an Immunomodulatory Strategy Employed by Human Herpesviruses
2012
PLoS Pathogens
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Citation: Viejo-Borbolla A, Martinez-Martín N, Nel HJ, Rueda P, Martín R, et al. (2012) Enhancement of Chemokine Function as an Immunomodulatory Strategy Employed by Human Herpesviruses. ...
doi:10.1371/journal.ppat.1002497
pmid:22319442
pmcid:PMC3271085
fatcat:czyp7kjvnvhojnf7mmomgtrnou
Record breaking mushroom yields in Spain
2017
Fungal ecology
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., Oria-de-Rueda, J.A., Martín-Pinto, P., 2015. Climate-sensitive models for mushroom yields and diversity in Cistus ladanifer scrublands. Agric. For. Meteorol. 213, 173-182. ...
doi:10.1016/j.funeco.2017.01.004
fatcat:xtnc2xeg5nd2tg4fbetpv3xaxq
Anthracosis Mimicking Metastatic Melanoma in a Sentinel Lymph Node
2016
Journal of Pigmentary Disorders
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Sentinel lymph node (SLN) biopsy provides a pathological lymph node staging in patients with clinical stage I/II melanoma. In most cases, we will find melanoma metastases if SLN is brown or black. But there are other entities that give black color to SLN, the most frequent is tattoo pigment. We report the first case of anthracosis in a SLN biopsy of melanoma mimicking melanoma metastases. We also review other causes of black pigment in SLN.
doi:10.4172/2376-0427.1000240
fatcat:eru5yilkqbegpm6f6ixweuqta4
A Causal Analysis of Life Expectancy at Birth. Evidence from Spain
2019
International Journal of Environmental Research and Public Health
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From a causal point of view, there exists a set of socioeconomic indicators concerning life expectancy. The objective of this paper is to determine the indicators which exhibit a relation of causality with life expectancy at birth. Methods: Our analysis applies the Granger causality test, more specifically its version by Dumitrescu–Hurlin, starting from the information concerning life expectancy at birth and a set of socioeconomic variables corresponding to 17 Spanish regions, throughout the
doi:10.3390/ijerph16132367
pmid:31277340
pmcid:PMC6650812
fatcat:pbrr7n5tsff4ndov4mxormel5i
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... iod 2006–2016. To do this, we used the panel data involving the information provided by the Spanish Ministry of Health, Consumer Affairs and Social Welfare (MHCSW) and the National Institute of Statistics (NIS). Results: Per capita income, and the rate of hospital beds, medical staff and nurses Granger-cause the variable "life expectancy at birth", according to the Granger causality test applied to panel data (Dumitrescu–Hurlin's version). Conclusions: Life expectancy at birth has become one of the main indicators able to measure the performance of a country's health system. This analysis facilitates the identification of those factors which exhibit a unidirectional Granger-causality relationship with life expectancy at birth. Therefore, this paper provides useful information for the management of public health resources from the point of view of the maximization of social benefits.
Novel ortho-OPE metallofoldamers: binding-induced folding promoted by nucleating Ag(i)–alkyne interactions
2014
Chemical Science
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Ag(i)–alkyne interactions induce the folding of o-OPE foldamers, yielding a new class of metallofoldamers.
doi:10.1039/c4sc01988a
fatcat:bcmbs2ymj5gbbgzqzwj22ihn5q
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