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Colorectal cancer is a common type of cancer. Due to the alarming incidence and mortality rate, it has received increasing attention on early detection and treatment. Colorectal polyps form and grow at initial stages of most colorectal cancer cases. Due to rather stringent medical resource availability and low screening compliance rate, it is more desirable in China than industrialized countries to...
While high-throughput single cell technologies enable in depth examination of specific cell subsets, these experiments lack the context of these subsets in other cell types and diseases. We compared novel dendritic and monocyte signatures from single cell RNAseq with bulk transcriptome of immune cells to show that the gene signatures for the novel cell subsets are also up-regulated in functionally...
This project uses association rule mining to explore relationships among potential factors related to Skin Melanoma occurrence. The goal is to see if there are any environmental or demographic factors, such as age, education, poverty, UV exposure, or others that can be identified using their spatial relationship. By analyzing data from 2004 and 2014, this study can investigate decadal trends and differences...
This paper studies chaotic behavior in cancer dynamics when a treatment procedure is introduced. Recently introduced virotherapy is considered for the cancer treatment. Chaotic behaviors are investigated by using the Lyapunov Exponent for a set of parameters. The chaotic behavior is studied by using the mathematical model of the cancer dynamics involving the virotherapy. Through simulations and the...
We perform a local sensitivity study taking into account the variation of the parameters and initial conditions applied to a model governing the chronic myelogenous leukemia (CML) evolution, a cancer of the white blood cells. The interaction mechanism between naïve T cells, effector T cells, and CML cancer cells in the body is modeled by a system of ordinary differential equations which defines rates...
This paper is dedicated to develop a fractional order model of the rate of change of cancerous blood cells in Chronic Myeloid Leukaemia using fractional-order differential equations as well as tackling the factors that affect this rate and compare between them. The simulated cases (using MATLAB) prove that the proposed model is doable in terms of the variables positions in the equations and its effect...
The automated segmentation of cells in microscopic images is an open research problem that has important implications for studies of the developmental and cancer processes based on in vitro models. In this paper, we present the approach for segmentation of the DIC images of cultured cells using G-neighbor smoothing followed by Kauwahara filtering and local standard deviation approach for boundary...
Breast and ovarian cancers are the most prevalent type of malignancies amongst women. Similar incidence appear in childhood malignancies, where the basic ontogenetic mechanisms still remain to be elucidated. Such approaches, of relating mothers cancer mutations with the prevalence of childhood cancer in their offspring could prove useful in the prognosis, early detection and therapy of childhood malignancies...
Evolution of cancer treatment requires reconfiguration and optimization of the health care infrastructure and investment in new services. To address this problem, it is necessary to make significant changes in the health infrastructure and creating a informatics system consisting of electronic medical records. The data of this study comes from surfing and learning ABI/Inform Global (ProQuest) papers...
The last decade Digital Pathology is coming as a relevant and promising area for cancer research and clinical practice thanks to two main trends, 1) the availability of whole slide scanners for complete pathology slide digitalization, and 2) the development of several computational method for histopathology image analysis. However, there are very few works addressed to analyze the whole-slide digitized...
Cancer is the second leading cause of death in children (after accidents). Childhood Acute Lymphoblastic Leukemia (ALL) is the most common and high risk cancer among the children. Medical practitioners make predictions about the survival time using their previous experiences and observations. They still cannot give an accurate survival prediction since the relationship between health status and survivability...
The generalizability (external validity) of clinical trials has long been a concern for both clinical research community as well as the general public. Results of trials that do not represent the target population may not be applicable to the broader patient population. In this study, we used a previously published metric Generalizability Index for Study Traits (GIST) to assess the population representativeness...
As the volume of biomedical literature increases, it can be challenging for clinicians to stay up-to-date. Graphical summarization systems help by condensing knowledge into networks of entities and relations. However, existing systems present relations out of context, ignoring key details such as study population. To better support precision medicine, summarization systems should include such information...
We show that a widely used training-data classification rule fails to provide reliable cancer prognosis prediction even in a very simple case with binary data from a relatively small number of genes. We also show that this limitation can be overcome by optimally integrating prior biological knowledge into a model-based framework with a sufficient amount of patient-specific data. This highlights the...
Microarray dataset often contains huge number of data, only a fraction of which comprise significant differentially expressed genes. In this article, t-test is applied to identify the precise and interesting genes which are responsible for cause of cancer. After precise identification, a new embedded approach is proposed where in a genetic algorithm (GA) is combined with Artificial neural network...
Data produced out of microarray experiments are of great use for the physician when it is presented in a meaningful manner. This paper proposes hybrid intelligent methods for addressing the challenges in analyzing the microarray data. The concept of fuzzy and rough set is hybridized with FInformation (FRFI) for gene selection. An optimal fuzzy logic based classifier (FLC) is developed for sample classification...
In this paper we study some features of global behavior of one four-dimensional cancer model described by DePillisand Radunskaya in 2013. We find upper bounds for ultimate dynamics of all types of cells populations involvedinto this model. Also all the ultimate lower bounds. Further, we prove the existence of the bounded positively invariantpolytope. Finally, we demonstrate local stability of the...
In this paper, we propose a systematic cancer therapy strategy, which is based on switching between successive parameter dependent domains of attraction. More specifically, we address the problem of steering a stable invasive tumor to tumor dormancy. A predator-prey model from the literature is considered for describing the tumor-normal cells interaction. For computing the domain of attraction of...
Biologists have uncovered some of the most basic mechanisms by which normal cells develop into cancerous tumors. These biological theories can be transformed into adequate mathematical models. For this reason, we attempt to study the evolution of cancer cells using the Markov Chain Processes. Based on Markov chain Processes, cancer chemotherapy will be applied on them to treat the disease. However,...
Cancer — uncontrolled cell proliferation, is caused by the deregulation of key genes that control cellular mechanisms, including division, differentiation, apoptosis, and movement. Here, we introduce LogisticCrypt, a logistic model on crypt structure at specific time points, which focuses on cell division, differentiation and apoptosis rates and on cell competition in crypt space. Comparative analysis...
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