Relevant bibliographies by topics / Tumor cell computation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Tumor cell computation'

Author: Grafiati
Published: 5 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Tumor cell computation"

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Ryser, Marc D., Byung-Hoon Min, Kimberly D. Siegmund, and Darryl Shibata. "Spatial mutation patterns as markers of early colorectal tumor cell mobility." Proceedings of the National Academy of Sciences 115, no. 22 (2018): 5774–79. http://dx.doi.org/10.1073/pnas.1716552115.

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A growing body of evidence suggests that a subset of human cancers grows as single clonal expansions. In such a nearly neutral evolution scenario, it is possible to infer the early ancestral tree of a full-grown tumor. We hypothesized that early tree reconstruction can provide insights into the mobility phenotypes of tumor cells during their first few cell divisions. We explored this hypothesis by means of a computational multiscale model of tumor expansion incorporating the glandular structure of colorectal tumors. After calibrating the model to multiregional and single gland data from 19 hum
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Bernardis, Alessia, Marco Bullo, Luca Giovanni Campana, et al. "Electric field computation and measurements in the electroporation of inhomogeneous samples." Open Physics 15, no. 1 (2017): 790–96. http://dx.doi.org/10.1515/phys-2017-0092.

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AbstractIn clinical treatments of a class of tumors,e.g. skin tumors, the drug uptake of tumor tissue is helped by means of a pulsed electric field, which permeabilizes the cell membranes. This technique, which is called electroporation, exploits the conductivity of the tissues: however, the tumor tissue could be characterized by inhomogeneous areas, eventually causing a non-uniform distribution of current. In this paper, the authors propose a field model to predict the effect of tissue inhomogeneity, which can affect the current density distribution. In particular, finite-element simulations,
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Eddy, James A., Vésteinn Thorsson, Andrew E. Lamb, et al. "CRI iAtlas: an interactive portal for immuno-oncology research." F1000Research 9 (August 24, 2020): 1028. http://dx.doi.org/10.12688/f1000research.25141.1.

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The Cancer Research Institute (CRI) iAtlas is an interactive web platform for data exploration and discovery in the context of tumors and their interactions with the immune microenvironment. iAtlas allows researchers to study immune response characterizations and patterns for individual tumor types, tumor subtypes, and immune subtypes. iAtlas supports computation and visualization of correlations and statistics among features related to the tumor microenvironment, cell composition, immune expression signatures, tumor mutation burden, cancer driver mutations, adaptive cell clonality, patient su
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Neeru Saxena. "Ensemble XMOB Approach for Brain Tumor Detection Based on Feature Extraction." Tuijin Jishu/Journal of Propulsion Technology 45, no. 03 (2024): 593–607. http://dx.doi.org/10.52783/tjjpt.v45.i03.7253.

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Brain tumors are a serious health threat in adults. These fast-growing abnormal cell masses disrupt normal brain function. Doctors use various imaging techniques to identify the specific type, size, and location of brain tumors in patients. Accurately identifying and classifying brain tumors is crucial for understanding how they develop and progress. Magnetic Resonance Imaging (MRI), a well-established medical imaging technique, plays a vital role in this process by assisting radiologists in investigating the location of the tumor. Previous models frequently encounter a compromise between accu
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Zhang, Bing, and Michal Bassani-Sternberg. "Current perspectives on mass spectrometry-based immunopeptidomics: the computational angle to tumor antigen discovery." Journal for ImmunoTherapy of Cancer 11, no. 10 (2023): e007073. http://dx.doi.org/10.1136/jitc-2023-007073.

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Identification of tumor antigens presented by the human leucocyte antigen (HLA) molecules is essential for the design of effective and safe cancer immunotherapies that rely on T cell recognition and killing of tumor cells. Mass spectrometry (MS)-based immunopeptidomics enables high-throughput, direct identification of HLA-bound peptides from a variety of cell lines, tumor tissues, and healthy tissues. It involves immunoaffinity purification of HLA complexes followed by MS profiling of the extracted peptides using data-dependent acquisition, data-independent acquisition, or targeted approaches.
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Bloom, Alexander B., and Muhammad H. Zaman. "Influence of the microenvironment on cell fate determination and migration." Physiological Genomics 46, no. 9 (2014): 309–14. http://dx.doi.org/10.1152/physiolgenomics.00170.2013.

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Several critical cell functions are influenced not only by internal cellular machinery but also by external mechanical and biochemical cues from the surrounding microenvironment. Slight changes to the microenvironment can result in dramatic changes to the cell's phenotype; for example, a change in the nutrients or pH of a tumor microenvironment can result in increased tumor metastasis. While cellular fate and the regulators of cell fate have been studied in detail for several decades now, our understanding of the extracellular regulators remains qualitative and far from comprehensive. In this
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Trusov, P. V., N. V. Zaitseva, and V. М. Chigvintsev. "Predicting a risk of tumor evolution considering regulatory mechanisms of the body and angiogenesis." Health Risk Analysis, no. 4 (December 2023): 134–45. http://dx.doi.org/10.21668/health.risk/2023.4.13.eng.

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Adverse environmental and lifestyle factors produce considerable effects on occurrence of cancerous tumors, both directly and indirectly through impaired functionality of the body protection mechanisms. Investigation of these effects has practical significance for risk assessment and development of effective cancer preventive strategies. Mathematical modeling is an eligible method for considering complex multicomponent interactions between elements of various systems involved in tumor growth. This article presents an approach to assessing risks of cancerous tumors by using a created predictive
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Trusov, P. V., N. V. Zaitseva, and V. М. Chigvintsev. "Predicting a risk of tumor evolution considering regulatory mechanisms of the body and angiogenesis." Health Risk Analysis, no. 4 (December 2023): 134–45. http://dx.doi.org/10.21668/health.risk/2023.4.13.

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Adverse environmental and lifestyle factors produce considerable effects on occurrence of cancerous tumors, both directly and indirectly through impaired functionality of the body protection mechanisms. Investigation of these effects has practical significance for risk assessment and development of effective cancer preventive strategies. Mathematical modeling is an eligible method for considering complex multicomponent interactions between elements of various systems involved in tumor growth. This article presents an approach to assessing risks of cancerous tumors by using a created predictive
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Satomi, Kaishi, Ryo Nishikawa, Masao Matsutani, Koichi Ichimura, and Hirokazu Takami. "PATH-42. PROGNOSTIC FACTORS OF CNS GERM CELL TUMORS; MOLECULAR AND HISTOPATHOLOGICAL ANALYSES ON 154 CASES FROM THE IGCT CONSORTIUM." Neuro-Oncology 23, Supplement_6 (2021): vi124—vi125. http://dx.doi.org/10.1093/neuonc/noab196.494.

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Abstract BACKGROUND Germ cell tumors (GCTs) preferentially occurs in pediatric and young adult age groups. Chemo- and radiation therapies cause long-term sequelae in their later lives. We searched for clinical and histopathological features to predict the prognosis and affect treatment response, with a future goal of treatment stratification. METHODS A total of 154 GCT cases were included in the analysis. Total of 114 germinoma cases underwent measurement of tumor cell content on H-E specimen, and 82 GCT cases underwent 450K methylation analysis. 12p gain was determined on methylation-based co
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Takami, Hirokazu, Kaishi Satomi, Kohei Fukuoka, et al. "BOT-3 Prognostic Factors of CNS Germ Cell Tumors; Molecular and Histopathological Analyses on 154 Cases from the iGCT Consortium." Neuro-Oncology Advances 3, Supplement_6 (2021): vi8—vi9. http://dx.doi.org/10.1093/noajnl/vdab159.031.

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Abstract Background: Germ cell tumors (GCTs) preferentially occurs in pediatric and young adult age groups. Chemo- and radiation therapies cause long-term sequelae in their later lives. We searched for clinical and histopathological features to predict the prognosis and affect treatment response, with a future goal of treatment stratification.Methods: A total of 154 GCT cases were included in the analysis. Total of 114 germinoma cases underwent measurement of tumor cell content on H-E specimen, and 82 GCT cases underwent 450K methylation analysis. 12p gain was determined on methylation-based c
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Dissertations / Theses on the topic "Tumor cell computation"

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Kumar, Manu Prajapati. "Computational analysis of cell-cell communication in the tumor microenvironment." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123063.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 147-168).<br>Cell-cell communication between malignant, immune, and stromal cells influences many aspects of in vivo tumor biology, including tumorigenesis, tumor progression, and therapeutic resistance. As a result, targeting receptor-ligand interactions, for instance with immune check-point inhibitors, can provide significant benefit for patients. However, our knowledge of this complex network of cell-cell int
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Marjanovic, Nemanja. "Application of the single cell genomics in deciphering tumor heterogeneity and its role in tumor progression and drug resistance." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130830.

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Thesis: Ph. D., Massachusetts Institute of Technology, Computational and Systems Biology Program, February, 2021<br>Cataloged from the official PDF of thesis. "February 2021."<br>Includes bibliographical references.<br>Tumor progression, from the single mutated cell to the advanced stages of cancer, represents an evolutionary process. During tumor progression, cancer cells acquire new genetic mutations, becoming more heterogeneous, leading to tumor progression and resistance to therapy. However, clear genetic drivers of progression, metastasis, and therapeutic resistance are identified in only
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Windes, Peter. "Computational Modeling of Intracapillary Bacteria Transport in Tumor Microvasculature." Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/77502.

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The delivery of drugs into solid tumors is not trivial due to obstructions in the tumor microenvironment. Innovative drug delivery vehicles are currently being designed to overcome this challenge. In this research, computational fluid dynamics (CFD) simulations were used to evaluate the behavior of several drug delivery vectors in tumor capillaries—specifically motile bacteria, non-motile bacteria, and nanoparticles. Red blood cells, bacteria, and nanoparticles were imposed in the flow using the immersed boundary method. A human capillary model was developed using a novel method of handling de
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Lumb, Craig Nicholas. "Computational studies of signalling at the cell membrane." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:d5b2db00-1050-4191-8eff-3521a4885a0c.

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In order to associate with the cytoplasmic leaflet of the plasma membrane, many cytosolic signalling proteins possess a distinct lipid binding domain as part of their overall fold. Here, a multiscale simulation approach has been used to investigate three membrane-binding proteins involved in cellular processes such as growth and proliferation. The pleckstrin homology (PH) domain from the general receptor for phosphoinositides 1 (GRP1-PH) binds phosphatidylinositol (3,4,5)-trisphosphate (PI(3,4,5)P₃) with high affinity and specificity. To investigate how this peripheral protein is able to locat
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Su, Hai. "Nuclei/Cell Detection in Microscopic Skeletal Muscle Fiber Images and Histopathological Brain Tumor Images Using Sparse Optimizations." UKnowledge, 2014. http://uknowledge.uky.edu/cs_etds/24.

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Nuclei/Cell detection is usually a prerequisite procedure in many computer-aided biomedical image analysis tasks. In this thesis we propose two automatic nuclei/cell detection frameworks. One is for nuclei detection in skeletal muscle fiber images and the other is for brain tumor histopathological images. For skeletal muscle fiber images, the major challenges include: i) shape and size variations of the nuclei, ii) overlapping nuclear clumps, and iii) a series of z-stack images with out-of-focus regions. We propose a novel automatic detection algorithm consisting of the following components: 1
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Paye, Julie Melissa Davis. "Effect of the Insulin-like Growth Factor (IGF) Axis on the Transport Properties of Endothelial and Epithelial Cells In Vitro." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/29071.

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The overall objective of this research consists of two main parts: (1) provide evidence that autocrine production of IGF-I modulates tight junction permeability and (2) demonstrate the ability of IGFBPs to regulate IGF-I delivery across cell layers. To meet the first objective, parental and IGF-I secreting bovine mammary epithelial cells were tested for cell layer permeability, tight and adherens junction proteins, IGF-IR, and a downstream signaling components of IGF-IR. In comparison with parental cells, IGF-I secreting cells had high levels of IGF-IRs, but low levels of the junction compon
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Favara, David M. "The biology of ELTD1/ADGRL4 : a novel regulator of tumour angiogenesis." Thesis, University of Oxford, 2017. http://ora.ox.ac.uk/objects/uuid:0d00af0a-bb43-44bc-ba0b-1f8acbe34bc5.

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<strong>Background:</strong> Our laboratory identified ELTD1, an orphan GPCR belonging to the adhesion GPCR family (aGPCR), as a novel regulator of angiogenesis and a potential anti-cancer therapeutic target. ELTD1 is normally expressed in both endothelial cells and vascular smooth muscle cells and expression is significantly increased in the tumour vasculature. The aim of this project was to analyse ELTD1's function in endothelial cells and its role in breast cancer. <strong>Method:</strong> 62 sequenced vertebrate genomes were interrogated for ELTD1 conservation and domain alterations. A phy
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Sarr, Abdoulaye. "Viab-Cell, développement d'un logiciel viabiliste sur processeur multicoeurs pour la simulation de la morphogénèse." Thesis, Brest, 2016. http://www.theses.fr/2016BRES0105/document.

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Ce travail présente un modèle théorique de morphogenèse animale, sous la forme d’un système complexe émergeant de nombreux comportements, processus internes, expressions et interactions cellulaires. Son implémentation repose sur un automate cellulaire orienté système multi-agents avec un couplage énergico-génétique entre les dynamiques cellulaires et les ressources.Notre objectif est de proposer des outils permettant l’étude numérique du développement de tissus cellulaires à travers une approche hybride (discrète/continue et qualitative/quantitative) pour modéliser les aspects génétiques, éner
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Sun, Roger. "Utilisation de méthodes radiomiques pour la prédiction des réponses à l’immunothérapie et combinaisons de radioimmunothérapie chez des patients atteints de cancers Radiomics to Assess Tumor Infiltrating CD8 T-Cells and Response to Anti-PD-1/PD-L1 Immunotherapy in Cancer Patients: An Imaging Biomarker Multi-Cohort Study Imagerie médicale computationnelle (radiomique) et potentiel en immuno-oncologie Radiomics to Predict Outcomes and Abscopal Response of Cancer Patients Treated with Immunotherapy Combined with Radiotherapy Using a Validated Signature of CD8 Cells." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASL023.

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Depuis l’arrivée des inhibiteurs de points de contrôle immunitaire, l’immunothérapie a profondément modifié la prise en charge de nombreux cancers, permettant parfois des réponses tumorales prolongées chez des patients atteints de cancers aux stades très avancés. Cependant, malgré des progrès thérapeutiques constants et des associations de traitements combinant par exemple radiothérapie et immunothérapie, la majorité des patients traités ne présentent pas de bénéfices à ces traitements. Ceci explique l’importance de la recherche de biomarqueurs innovants de réponse à l’immunothérapie.L’applica
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Shahbandi, Nazgol. "Interaction of Brain Cancer Stem Cells and the Tumour Microenvironment: A Computational Study." Thesis, 2012. http://hdl.handle.net/10012/6440.

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Glioblastoma multiforme (GBM) is one of the most common and aggressive primary brain tumours, with a median patient survival time of 6-12 months in adults. It has been recently suggested that a typically small sub-population of brain tumour cells, in possession of certain defining properties of stem cells, is responsible for initiating and maintaining the tumour. More recent experiments have studied the interactions between this subpopulation of brain cancer cells and tumour microenvironmental factors such as hypoxia and high acidity. In this thesis a computational approach (based on Gillespie
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Book chapters on the topic "Tumor cell computation"

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Jurtz, Vanessa Isabell, and Lars Rønn Olsen. "Computational Methods for Identification of T Cell Neoepitopes in Tumors." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-8868-6_9.

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Owolabi, Kolade M., Albert Shikongo, and Edson Pindza. "Numerical Solution for a Tumor Cells Dynamics Within Their Micro-environment." In Computational Methods for Biological Models. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-5001-0_3.

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Ono, Naoaki, Chika Iwamoto, and Kenoki Ohuchida. "Construction of Classifier of Tumor Cell Types of Pancreas Cancer Based on Pathological Images Using Deep Learning." In Multidisciplinary Computational Anatomy. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4325-5_17.

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Celik, Sefa, Funda Ozkok, Sevim Akyuz, and Aysen E. Ozel. "The Importance of Anthraquinone and Its Analogues and Molecular Docking Calculation." In Computational Models for Biomedical Reasoning and Problem Solving. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7467-5.ch007.

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In drug-delivery systems containing nano-drug structures, targeting the tumorous tissue by anthraquinone molecules with high biological activity, and reaching and destroying tumors by their tumor-killing effect reveals remarkable results for the treatment of tumors. The various biological activities of anthraquinones and their derivatives depend on molecular conformation; hence, their intra-cell interaction mechanisms including deoxyribonucleic acid (DNA), ribonucleic acid (RNA), enzymes, and hormones. Computer-based drug design plays an important role in the design of drugs and the determinat
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Niida, Atsushi, and Watal M. Iwasaki. "Agent-Based Modeling and Analysis of Cancer Evolution." In Simulation Modeling. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.100140.

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Before the development of the next-generation sequencing (NGS) technology, carcinogenesis was regarded as a linear evolutionary process, driven by repeated acquisition of multiple driver mutations and Darwinian selection. However, recent cancer genome analyses employing NGS revealed the heterogeneity of mutations in the tumor, which is known as intratumor heterogeneity (ITH) and generated by branching evolution of cancer cells. In this chapter, we introduce a simulation modeling approach useful for understanding cancer evolution and ITH. We first describe agent-based modeling for simulating br
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Talbot Hugo, Lekkal Myriam, Bessard-Duparc Remi, and Cotin Stephane. "Interactive Planning of Cryotherapy Using Physics-Based Simulation." In Studies in Health Technology and Informatics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-375-9-423.

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Cryotherapy is a rapidly growing minimally invasive technique for the treatment of certain tumors. It consists in destroying cancer cells by extreme cold delivered at the tip of a needle-like probe. As the resulting iceball is often smaller than the targeted tumor, a key to the success of cryotherapy is the planning of the position and orientation of the multiple probes required to treat a tumor, while avoiding any damage to the surrounding tissues. In order to provide such a planning tool, a number of challenges need to be addressed such as fast and accurate computation of the freezing proces
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Salunke, Ujwala Udhavrao, and Bhushan Rajendra Mote. "Brain Tumor Detection." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9521-9.ch016.

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Brain tumor formation is due to fast and unchecked growth of cells. Early identification of cancer is a very necessary. Brain tumors can be classified into various types of groups with respect to the type they are, anatomical structure from where they originate, rate of growth, and the stage at which the tumor is developed; Thus, developing automated segmentation and classification techniques is critical to accelerate and enhance the diagnosis process of brain tumors. Neuroimaging techniques like CT and MRI can quickly and safely detect tumors. The capability of ML and AI is demonstrated in cr
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Sakthivel, Shalini, Manjita Srivastava, Muneesh Kumar Barman, et al. "Cancer Stem Cells and Advanced Novel Technologies in Oncotherapy." In Research Anthology on Bioinformatics, Genomics, and Computational Biology. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-3026-5.ch020.

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Self-renewal is the most important property of stem cells. Parallel to this, cancer stem cells (CSCs) have an indefinite proliferative ability that drives tumorigenesis. The conventional treatment of cancer includes chemotherapy, radiotherapy, and surgery, which decreases the tumour size. Contrary, targeted therapy against CSCs initially does not shrink the tumour but ultimately causes tumour degeneration. Nanobiotechnology, RNA interference, microRNA are emerging fields with a vital role in targeted therapy against CSCs. The non-protein encoding microRNAs has a major role in cancer treatment
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Ghosh, Joyeta, and Asmita Roy. "Reframing Cancer as an Immunological Disorder Through Personalized Nutrition and AI Integration." In Advances in Computational Intelligence and Robotics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-9725-1.ch012.

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Recent advances in cancer research have revolutionized our understanding of cancer as not merely a disease of uncontrolled cell growth but fundamentally as an immunological disorder where malignant cells evade and suppress immune surveillance. This chapter presents a novel framework for conceptualizing and treating cancer through an integrative approach that combines immunological insights with personalized nutrition and artificial intelligence-driven interventions. The chapter synthesizes current evidence on immunonutrition in oncology, examining specific nutrients and bioactive compounds tha
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Frometa-Castillo, Terman, Anil Pyakuryal, Amadeo Wals-Zurita, and Asghar Mesbahi. "Biologically Effective Dose (BED) or Radiation Biological Effect (RBEf)?" In Recent Techniques and Applications in Ionizing Radiation Research. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.92029.

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The current radiosensitive studies are described with linear-quadratic (LQ) cell survival (S) model for one fraction with a dose d. As result of assuming all sublethally damaged cells (SLDCs) are completely repaired during the interfractions, that is, no presence of SLDCs, the survived cells are calculated for a n-fractionated regimen with the LQ S(n,D) model. A mathematically processed subpart of LQS(n,D) is the biologically effective dose (BED) that is used for evaluating a so-called “biological dose.” The interactions of ionizing radiation with a living tissue can produce partial death or s
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Conference papers on the topic "Tumor cell computation"

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Rizwan, Muhammad, Po Tsang B. Huang, and Mehboob Ali. "A Bi-Fold Multi-Classification Scheme for Brain Tumor Using Deep Convolutional Neural Network." In 14th International Seminar on Industrial Engineering and Management. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-mk5lge.

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A brain tumor is an uncontrolled and unstructured growth of brain cells inside the skull. Most of the time, tumors are misclassified due to the complexity of the lesion and as a result, the survival rate of the patient effects adversely. Magnetic resonance imaging (MRI) is usually used to identify various types of brain tumors. Due to the advancement in computer-aided systems and bio-informatics ML and DL algorithms has been applied to assist neurologist in decision-making. However, the current techniques are error-prone and time-consuming. Therefore, a Bi-fold CNN model for tumor detection an
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Zaman, Muhammad H. "Multiscale Modeling of Tumor Cell Migration." In FROM PHYSICS TO BIOLOGY: The Interface between Experiment and Computation - BIFI 2006 II International Congress. AIP, 2006. http://dx.doi.org/10.1063/1.2345628.

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Li, Xiuyan, Zhenyu Yang, Qi Wang, Yukuan Sun, and Aidong Liu. "Vision Transformer for Cell Tumor Image Classification." In 2023 3rd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT). IEEE, 2023. http://dx.doi.org/10.1109/icfeict59519.2023.00039.

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He, Zhi Zhu, and Jing Liu. "Investigation of Tumor Growth Based on Phase Field Model." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-65744.

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This paper presents and investigates the tumor growth based on a phase model. The tumor core is necrotic and inhibitor chemical species are considered. The interface of tumor and health tissue is tracked using a phase field equation. The reformulation of a classical model, accounting for cell-proliferation, apoptosis, cell-to-cell and cell-to-matrix adhesion, is derived. The advantages of the finite difference methodology employed are generality and relative simplicity implication. We present simulations of the nonlinear evolution of growing tumors morphology and discuss the effects of tumor m
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Ahmed, Meraj, Tam Thien Nguyen, Lahcen Akerkouch, Margherita Tavasso, Ankur Deep, and Trung B. Le. "Numerical Modelling of Tumor Transport in Fluid Flows." In 2025 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2025. https://doi.org/10.1115/dmd2025-1060.

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Abstract Cancer metastasis leads to the transport and widespread of malignant cells from the primary tumor to other parts of the body by exploiting body fluids (lymphatic fluid, bloodstream, and interstitial fluid). While the transport of a single cancer cell in fluid flow has been studied in the past, it is unclear how a group of cancer cells (tumor) migrate under the impact of hydrodynamic force in vasculature. In this work, we address this knowledge gap by investigating the migration process of a cancer spheroid tumor in a micro-channel with a constriction using both experimental and comput
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Pishko, Gregory L., Garrett W. Astary, Thomas H. Mareci, and Malisa Sarntinoranont. "High Resolution DCE-MRI Vascular Characterization of Murine Sarcoma and Human Renal Cell Carcinoma for Computational Modeling." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-193179.

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Non-uniform extravasation from blood vessels, elevated interstitial fluid pressure (IFP), and transport by bulk fluid motion in the extracellular space have all been determined to contribute to the non-uniform tissue distribution of systemically delivered agents in solid tumors. The aforementioned factors can lead to inadequate and uneven uptake in tumor tissue which has been shown to be a major obstacle to macromolecules in clinical cancer therapy [1]. Recently developed computational tumor models have described blood flow either in a single vessel or capillary network with variations in spac
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Sarkar, Saugata, and Marissa Nichole Rylander. "Treatment Planning Model for Nanotube-Mediated Laser Cancer Therapy." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192997.

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The goal of the project is to develop an effective treatment planning computational tool for nanotube-mediated laser therapy that maximizes tumor destruction and minimizes tumor recurrence. Laser therapies can provide a minimally invasive treatment alternative to surgical resection of tumors. However, the effectiveness of these therapies is limited due to nonspecific heating of target tissue and diffusion limited thermal deposition which often leads to healthy tissue injury and extended treatment durations. These therapies can be further compromised due to induction of molecular chaperones cal
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Park, Taehyun, Daniel Sangwon Park, and Michael C. Murphy. "High Flow Rate Device for Circulating Tumor Cell Capture." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-63750.

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Circulating tumor cells (CTCs) were captured at high flow rates with a high recovery rate using a small footprint disposable polymer micro device. A new concept of target cell capture was introduced to break through the barriers limiting current approaches. Several potential designs were parametrically simulated using computational fluid dynamics (CFD) to achieve the best performance. The high flow rate device (HFRD) was fabricated in polymethyl methacrylate (PMMA) based on simulation results. Antibodies (anti-EpCAM) were immobilized on the PMMA device with surface treatments including UV modi
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Aghaamoo, Mohammad, Jie Xu, and Xiaolin Chen. "A Computational Study on Non-Uniform Cross-Sectional Deformability-Based CTC Separation Devices." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50481.

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Abstract:
Cancer is one of the most dangerous diseases widespread around the world. Developing the most efficient cures for cancer strongly relies on a comprehensive understanding of cancer cells. Circulating Tumor Cells (CTCs) are cancer cells detached from the primary tumor site and released into the blood. CTCs are the main source of cancer metastasis. Devising devices to identify and separate these cells from the blood is of great importance since these cells represent cancer in many aspects. Because of the rarity of CTCs in the blood, designing efficient CTC separation devices has become a challeng
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10

Whitney, Jon, Saugata Sarkar, Xuanfeng Ding, et al. "Computational Models and Digital Image Analysis of Carbon Nanotube Mediated Laser Cancer Therapy." In ASME 2011 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2011. http://dx.doi.org/10.1115/sbc2011-53984.

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Laser-based photothermal therapy can provide a minimally invasive treatment alternative to surgical resection of tumors. The selectivity and effectiveness of laser therapy can be greatly enhanced when photo-absorbing nanoparticles such as multi-walled carbon nanotubes (MWNTs) are introduced into the tissue [1,2]. The effectiveness of nanoparticle enhanced laser treatment can be determined through a combined approach using experimental measurement and computational models. This approach allows ideal laser parameters (e.g. irradiance, pulse duration) and nanoparticle properties (e.g. concentrati
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