Seminario impartido por el Dr. Jesús Martínez de la Fuente, investigador del Instituto de Ciencia de Materiales de Aragón (ICMA-CSIC).
Este seminario se enmarca en el proyecto Neurocentro-CM (S2017/BMD-3760), financiado por la Comunidad de Madrid y el Fondo Social Europeo, y en la Comunidad Temática de Infraestructuras para la Salud, financiada por la Universidad Politécnica de Madrid.
Abstract In the last decades, inorganic nanoparticles have been steadily gaining more attention from a wide variety of fields as material science, engineering, physics, or chemistry. The very different properties compared to that of the respective bulk, and thus intriguing characteristics of materials in the nanometer scale, have driven nanoscience to be the center of many basic and applied research topics. Moreover, a wide variety of recently developed methodologies for their surface functionalization provide these materials with very specific properties such as drug delivery and circulating cancer biomarkers detection.
In this talk we describe the synthesis and functionalization of magnetic and gold nanoparticles as therapeutic and diagnosis tools against cancer. Gold nanoprisms (NPRs) have been functionalized with PEG, glucose, cell penetrating peptides, antibodies and/or fluorescent dyes, aiming to enhance NPRs stability, cellular uptake, and imaging capabilities, respectively.
Conferencia del Dr. Jose Luis Gómez Ribelles, del Centro de Biomateriales e Ingeniería Tisular de la Universidad Politécnica de Valencia.
Resumen Llamamos microgel a una dispersión de microesferas en un medio acuoso . Cada partícula puede tener propiedades de gel en sí misma pero aunque no sea así el conjunto puede tener la consistencia de un hidrogel. La síntesis de las microesferas permite mimetizar la composición del nicho biológico, injertando bio moléculas de la matriz extracelular del tejido de interés en la superficie de las partículas.
La fracción en volumen de microesferas respecto al volumen total permite aplicarlos como entorno tridimensional en el cultivo celular de distintos tipos celulares. Altas proporciones de partículas hacen que las células estén rodeadas de material como si estuvieran encapsuladas en un hidrogel, pero con la diferencia de que las células tienen movilidad y pueden modificar su entorno para dar cabida a la matriz extracelular que producen y organizar el tejido neoformado. Por el contrario, bajas fracciones de microesferas permiten simular el entorno de células no adherentes que se cultivan en suspensión, pero poniendo a su alcance los constituyentes del entorno natural injertadas en las propias microesferas.
Son ejemplos de aplicación el cultivo de 3D de condrocitos y células madre mesenquimales, la regeneración del cartílago articular en un modelo animal y el cultivo de células plasmáticas tumorales como modelo de enfermedad del Mieloma Múltiple.
Seminario impartido por la Dra. Elena Martínez Fraiz, líder del grupo de Biomimetic Systems for Cell Engineering del Institute for Bioengineering of Catalonia (IBEC).
Summary Epithelial tissues contain three-dimensional (3D) microstructures that guide cell self-organization at the tissue level. In the small intestine, crypts and finger-like villi microstructures improve its absorbance function, provides specific microenvironments and compartmentalizes cell types [1–3]. Despite its physiological relevance, tissue architecture and multicellular population are neglected in the standard in vitro models, thus compromising their predictive capabilities . Our efforts in addressing these shortcomings by including key elements to mimic the native tissue in vitro will be discussed in this talk. First, this will include strategies to promote cell’s self-organization capabilities giving rise to crypt-villus domains on 2D monolayers , and strategies to engineer cell spatial positioning through micropatterning. Then, our approach to include the 3D architecture of the tissue will be addressed. In here, light-based biofabrication techniques to produce 3D villus-like structures [6,7] will be discussed. Finally, I will introduce our biofabrication proposal to produce tissue engineered models that include the epithelial and the stromal compartments . Improving the prediction capabilities of cell-based assays is a growing strategy to lead to more efficient drug development processes. As 2D-based systems are showing their limits, new 3D strategies are gaining acceptance among the scientific community . Our approaches aim to further accelerate this trend by providing feasible strategies to routinely incorporate 3D multicellular structures at the tissue level in cell culture systems.
Seminario impartido por la profesora Prof. Stephanie Jones Human Neocortical Neurosolver, Department of Neuroscience, Brown University, Providence RI, USA
Abstract Over the last decade, there has been a growing interest in understanding the brain mechanisms underlying the loss of brain homeostasis in the continuum of Alzheimer’s Disease (AD). Animal models suggest that the substrate for this phenomenon is the loss of the excitatory/inhibitory (E/I) balance due to the toxic effects of amyloid oligomers and plaques on inhibitory terminals. This hyperexcitability is presumed to underlie the observed increases in power and inter-area synchronization of alpha/beta frequency oscillations measured in humans with electro- and magneto-encephalography (M/EEG). While animal and human studies are highly synergistic, it is unknown if the hyperexcitability found in animal models is the origin of the hypersynchronization found in human neurophysiology. To bridge this gap, the current project will apply a recently developed computational neural modeling framework uniquely designed to link human macroscale M/EEG signals to the underlying cellular and circuit level dynamics that can be interrogated with invasive animal recordings or other imaging modalities, namely Human Neocortical Neurosolver (HNN) (https://hnn.brown.edu).
About Prof. Stephanie Jones Her research integrates human brain imaging and computational neuroscience methods to study brain dynamics in health and disease. She works closely with animal neurophysiologist and clinicians to develop data constrained neural models that are functionally and translationally relevant. The main theme of her lab’s research is to develop biophysically principled models of neural circuits that bridge the critical gap between human brain imaging signals (MEG/EEG) and their underlying cellular and network-level generators. Current projects apply such interdisciplinary techniques to study the mechanisms and functions of neural dynamics, including brain rhythms, in healthy functions such as perception, attention, and decision making, and in neural pathologies such as Parkinson’s disease and Essential Tremor. They also study the impact of brain stimulation (DBS, tACS, TMS), and mind-body practices, on brain dynamics with the ultimate goal of improving treatments for neuropathology.
Luíño Seoane – Department of Physics, Massachusetts Institute of Technology, USALanguage can be described using networks of (semanticaly, syntacticaly, …) interacting objects. Besides, a general information theory approach incorporates a speaker, a hearer, and a noisy channel. A key, common element in such approach is a confusion matrix encoding which words name each one of the existing objects, naturally introducing networks again. This also allows us to measure costs associated to communication across the channel for hearers and speakers. A rich literature on least-effort language exploring the optimality of communication codes developed from these methods. However, no systematic analysis of the underlying landscape of language graphs has been performed. We do this here, finding a rather complex and heterogeneous morphospace of language networks. We also derive a series of results relevant for the least-effort study of human language, largely in contradiction with theoretical speculations in the literature. These analysis are complemented, for the first time, with an empirical study of English words. Based on the WordNet database, we locate English vocabulary within the language networks morphospace. The outcome of this empirical analysis stresses the role of referential particles for efficient communication and to explore this morphospace.
Luíño Seoane studied Physics at the Universidade de Santiago de Compostela and Computational Neuroscience at the Technische Universität Berlin before completing his PhD in Complex Systems at the Pompeu Fabra University. There, under the supervision of Ricard Solé, he studied Multiobjective Optimization, its connections to Statistical Mechanics, and how optimization trade-offs lead to phase transitions and other phenomenology in complex networks, in linguistics, and in Darwinian evolution. His research in Neuroscience spans from Brain-Computer Interfaces to correlates of consciousness, while he is interested in developing research in Machine Learning and models of spiking neurons.
In his presentation, he will describe the current state of AIT’s telehealth projects for diabetes (DiabMemory) and cardiac (HerzMobil) telemonitoring for chronically ill patients. AIT’s telehealth projects are already running in routine care in Austria, financed within the Austrian healthcare system, and they have been pilots for Austria’s currently developing tele-health-service standards, which are intended to link telehealth to the Austrian Electronic Health Record ELGA.
Dieter Hayn will also present current results of their Predictive Analytics Toolset for Healthcare (PATH), which supports the rapid setup of predictive modelling solutions for various applications. Results from different applications of PATH will be discussed, including prediction of Delirium at hospital admission; blood transfusion needs prior surgery, re-admission at discharge, etc. A current application of PATH in a real-world clinical scenario at a hospital in Graz (Austria) will be presented, including visualization tools for plausibility checks of machine learning results.
Seminario impartido por los profesores Anna Rising y Jan Johansson, del Instituto Karolinska, (Estocolmo, Suecia)
Ponencia organizada por Brainvestigations, empresa española que estudia las ondas cerebrales con un objetivo claro: aplicar y llevar el conocimiento científico al mundo de los negocios.
Ciencia, employer branding, aplicaciones neurocientíficas para validar políticas de recursos humanos, y cómo las técnicas de neuroimagen pueden decodificar la mente para aportar datos muy importantes que en estos momentos es más difícil obtener de otro modo, son otros de los temas que se pretenden abordar en esta jornada
En el encuentro tomarán parte Fernando Maestú, catedrático y director del Laboratorio Neurociencia Cognitiva del CTB e Ignacio Belinchón, consultor de Recursos Humanos y consejero de Brainvestigations.
Para asistir al evento es necesario completar el siguiente formulario: www.brainvestigations.com/contacto
Más información, firstname.lastname@example.org
Tenemos el placer de invitarles a la conferencia que tendrá lugar el día 02 de marzo a las 12:00 en el Aula 01 de la planta cero del Centro de Tecnología Biomédica, impartida por el investigador Christophe Letellier.
The observability of a complex system refers to the property of being able to infer its whole state by measuring the dynamics of a limited set of its variables. Since in practice, monitoring all the variables defining the system’s state is experimentally unfeasible or inefficient, it is of utmost importance to develop a methodological framework addressing the problem of targeting those variables yielding full observability. Despite several approaches have been proposed, most of them neglect the nonlinear nature typically exhibited by complex systems and/or do not provide the space reconstructed from the measured variables. On the one hand, since nonlinearities are often related to a lack of observability, linear approaches cannot properly address this problem. On the other hand, finding the appropriate combination of sensors (and time derivatives) spanning the reconstructed space is a very time demanding computational task for large dimensional systems. Here, we adopt a nonlinear symbolic approach taking into account the nature of the interactions among variables and analyze the distribution of the linear and nonlinear load of the variables in the symbolic Jacobian matrix of the system. By means of two easy-to-implement criteria we are able to successfully identify the minimal set of variables (and their time derivatives) candidate to be measured for completing the reconstructed space. Our predictions are in full agreement with the analytical solution and drastically reduce the search for candidate variables, thus providing a key step to observe and model natural and man made complex systems of large dimension . Some explicit examples will be provided . If I have time, I will end with an application of observability for a follow-up in oncology.
Tenemos el placer de invitarles a la conferencia que tendrá lugar el día 27 de octubre a las 12:30 en el Salón de Actos del Centro de Tecnología Biomédica, impartida por el investigador de la Universidad de Wageningen, Sidharam P. Pujari.
CV S.P.Pujari: he received a B.Sc. in Chemistry at the Shivaji University, India and an M.Sc. at the University of Pune, India. He worked at the National Chemical Laboratory in Pune, India, and at the National Taiwan University Science and Technology, Taipei before starting a PhD in Prof. Zuilhofs labs in Wageningen University on covalently bound fluorinated monolayers. Subsequently he was a postdoc at the Zuilhof labs, and visiting scholar at the University of Texas at Dallas with Prof. Y. J. Chabal. Currently, he works as research associate position in Wageningen in the fields of materials and surface chemistry. He has published 40 articles with 2 (eu & us) patents with h index = 15.
Health prediction and treatment processes have become increasingly complex: involving huge amounts of data; with information coming from diverse sources; and the need of accessing to real-time data for decision-making. On the other hand, biocomputing has become a cornerstone of life sciences in the recent years, with high performance computing and analytics solutions as drivers of this digital transformation.
In this workshop, hosted by Atos Spain S.A. as leader of PAPHOS consortium, we will present PAPHOS platform offering, a holistic solution to address healthcare givers, clinical researchers and life science professionals’ problems for an effective, smooth and affordable translation of big data analytics to their practice.
Tenemos el placer de invitarles a la conferencia que tendrá lugar el día 16 de octubre a las 10:00 en el Salón de Actos del Centro de Tecnología Biomédica, impartida por el profesor James Yang.
Abstract: Digital human modeling and simulation plays an important role in product design,prototyping, manufacturing, sports biomechanics, and other areas. It reduces the number of design iterations and increases the safety and design quality of products. In this talk, I will first briefly review the state of art of digital human models, then I will summarize research projects carried out in my research lab. The first area is in engineering by investigating the optimization based digital human models to assist design and engineering, slips and falls. Applications include driver accommodation study and special population posture and motion prediction. The second area is healthcare engineering and spine biomechanics.