David Hipólito Margarit

National University of General Sarmiento | UNGS · Instituto de Ciencias

Cancer and its metastasis in children have a high degree of lethality and side effects, so its characteristics need to be studied independently of adult cancer. The aim of this work is to model the metastasis pathways of the main childhood cancers worldwide by Absorbing Markov Chains, an important mathematical tool used for different applications i...

Model reduction aims to simplify complex models by decreasing the number of equations, variables, or parameters while preserving key characteristics. This approach enhances accessibility, comprehensibility, and computational efficiency, enabling a more focused analysis of relevant variables. In this study, we describe the reduction process of a pop...

This study presents an interdisciplinary approach to analyse the distribution of cancer stem cell markers (CSCMs) across various cancer-affected organs using hypergraphs. Cancer stem cells (CSCs) play a crucial role in cancer initiation, progression, and metastasis. By employing hypergraphs, we model the relationships between CSCM locations and can...

Interest in the study and characterization of aerosols has been growing given its multiple connections with air quality and climate. However, the limited ground-based stations for measurements in many countries are not enough to completely study a big city or a region. Low-cost technology arises as a viable alternative to improve the spatial resolu...

The object of a model reduction is to obtain a more simplified one, either in the number of equations, variables or parameters, keeping the characteristics of the original model. In the present work, we carried out the reduction of a population model of eight equations, which involves the differentiation of cancer cells and their interaction with t...

En la mecánica clásica se describe el movimiento de objetos (mientras no sean extremadamente masivos y viajen a velocidades menores a la velocidad de la luz), desde una bala de cañón hasta una galaxia. En esa descripción, sabiendo el estado actual del objeto, se puede conocer cómo fue el movimiento previo y cómo se moverá. Las notas de mecánica ele...

En la mecánica clásica se describe el movimiento de objetos (mientras no sean extremadamente masivos y viajen a velocidades menores a la velocidad de la luz), desde una bala de cañón hasta una galaxia. En esa descripción, sabiendo el estado actual del objeto, se puede conocer cómo fue el movimiento previo y cómo se moverá. Las notas de mecánica ele...

Absorbing Markov Chains are an important mathematical tool used for different applications in science. On the other hand, cancer and its metastases in children have a significant impact on health due to their degree of lethality. Therefore, the aim of this work is to model the metastatic pathways of the main childhood cancers worldwide. The probabi...

In previous work, we presented a model that integrates cancer cell differentiation and immunotherapy, analysing a particular therapy against cancer stem cells by cytotoxic cell vaccines. As every biological system is exposed to random fluctuations, is important to incorporate stochasticity in the models to adequate their behaviour to experimental o...

The design of Artificial Neural Networks is usually complex given the number of hyperparameters and predictors to be determined with crossed sensitivities. In the case of air quality, several antecedents seek to predict concentrations of pollutants, but generally, it is done with default Neural Network parameters and predictors selected with expert...

In a previous work, we presented a model that integrates cancer cell differentiation and immunotherapy, analysing a particular therapy against cancer stem cells by cytotoxic cell vaccines. As every biological system is exposed to random fluctuations, it is important to study its stochasticity. The influence of demographic and multiplicative noise i...

The design of Artificial Neural Networks is usually complex given the number of hyper-parameters and predictors to be determined with crossed sensitivities. In the case of air quality, several antecedents seek to predict concentrations of pollutants, but generally, it is done with default Neural Network parameters and predictors selected with exper...

In order to improve cancer treatments, cancer cell differentiation and immunotherapy are the subjects of several studies in different branches of interdisciplinary sciences. In this work, we develop a new population model that integrates other complementary ones, thus emphasizing the relationship between cancer cells at different differentiation stages...

Cancer cell differentiation and immunotherapy are currently the subjects of several studies. In this work, we develop a new population model that emphasizes the relationship between cancer cells, at different differentiation stages, and immune system cells for a tumour growth scenario. For this new model, specific ranges where transdifferentiation...

Individual neuron models give a comprehensive explanation of the behavior of the electrical potential of cell membranes. These models were and are a source of constant analysis to understand the functioning of, mainly, the complexity of the brain. In this work, using the Izhikevich model, we propose, analyze and characterize the transmission of a s...

In this thesis work, cancer is analysed from the perspective of complex systems using different scales. From an immunotherapeutic model of interaction between cells of the immune system and cancer, the different responses of the system were studied, by means of different types of temporal variations, for the possible ranges that the parameters can...

Cell culture in stem cell research is been rising, for basic research purposes and its potential in medical and therapeutic applications. In recent times, the microscopy observations of the dynamic activity of living cells have been widely used. However, actual technology for those purposes is often costly, especially for low resources institutes a...

El tiempo es la herramienta fundamental a partir de la cual se puede realizar una descripción metodológica para el análisis de series de datos meteorológicos. La observación de los parámetros meteorológicos cambia radicalmente con la escala temporal. Si hablamos de tiempo, lo hacemos para determinar los parámetros meteorológicos de un lugar determi...

The "one-carbon cycle" (OCC) involves the metabolism of folate and methionine and it is fundamental in the generation of amino acids, glucose, and vitamins as a fundamental part of cellular nutrition. In the folate cycle (FC) case, this process generates lipid biosynthesis, nucleotides and proteins that involve serine (Ser), glycine (Gly), formate...

A model with spherical symmetry is proposed. We analyze the appropriate parameters of cell differentiation for different kinds of cells (Cancer Stem Cells (CSC) and Differentiated Cells (DC)). The plasticity (capacity to return from a DC to its previous state of CSC) is taken into account. Following this hypothesis, the dissemination of CSCs to ano...

A model with spherical symmetry is proposed. We analyse the appropriate parameters of cell differentiation for different kinds of cells (Cancer Stem Cells (CSC) and Differentiated Cells (DC)). The plasticity (capacity to return from a DC to its previous state of CSC) is taking into account. Following this hypothesis, the dissemination of CSCs to an...

Presentación meramente divulgativa del estudio del cáncer en distintas escalas: poblacional, espacial, nodos, etc.

Metastasis is a complex and multi-stepstochastic process. The study of the probabilities of generate a tumor from a primary site in another organs,respecting the possibles routes, is the main objective ofthis work. Based on statistics of INC (National Institute ofCancer of Argentina) about the cancers that predominatein the country and by using Abs...

En el presente trabajo se propone analizar las condiciones atmosféricas, en particular la evolución temporal de intensidad y dirección de vientos, en la zona de Luján - Provincia de Buenos Aires. Esto se realizó mediante el estudio de series temporales de los años 2000 a 2009 y través de estudios de campo, con el fin de evaluar la factibilidad del...

Se estudia un modelo dinámico de tres poblaciones celulares tumorales: madres (CSC), progenitoras (P) y totalmente diferenciadas (D) considerando las estructuras jerárquicas de diferenciación celular por medio de una analogía con el modelo de Leslie. Se analizan las diferencias entre un modelo en ausencia de plasticidad y con presencia de la misma....

The Kirschner-Panetta model describes the poblational competition between effector cells and tumor cells. We analize external changes in the parameters and mechanisms to obtain the decreasing of tumor cells. These variations were performed by three different ways: Oscillations, spikes with the natural frequency of the system, and spikes with Normal...

The study of cancer, with its processes and treatments, is an important study object of many sciences. The understanding of metastasis process and its routes are a relevant factor to contribute in the advance of actual and future of clinical treatments. In the present work, based on statistics and by using Markov Chains (specially Absorbent Markov...

The study of cancer, with its processes and treatments, is an important study object of many sciences. The understanding of metastasis process and its routes are a relevant factor to contribute in the advance of actual and future of clinical treatments. In the present work, based on statistics and by using Markov Chains (specially Absorbent Markov...

sincronización por ajuste de frecuencias es un fenómeno de suma importancia en muchas clases de sistemas principalmente electrónicos y biológicos. En la actualidad se desconoce la totalidad de analogías biológicas en el ser humano a pesar que muchas de ellas han sido en cierto modo cuantificadas. El Museo de Ciencia, Tecnología y Sociedad “Imaginar...

A partir de un modelo poblacional se estudia la interacción mosquito-ave en la transmisión de la malaria aviar. Para ello analizaremos dos modelos: a) modelo con preferencia aleatoria (el mosquito elije al azar un ave infectada o sana) y b) modelo de preferencia dependiendo de la abundancia del huésped, analizando en cada caso, el número reproducti...

En el siguiente trabajo se simula y estudia el comportamiento de un sistema acoplado localmente de N neuronas, mediante el modelo de FitzHugh-Nagumo con distintas topologías y con el objetivo de determinar si la diversidad ante la influencia del ruido favorece la transmisión y la persistencia de la misma una vez eliminado el estímulo externo.