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X-ORIGINAL-URL:https://cmc.deusto.eus/
X-WR-CALNAME:cmc.deusto.eus
X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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UID:MEC-2255538166d2e6f3c6097c2c4df4e0be@cmc.deusto.eus
DTSTART:20210211T150000Z
DTEND:20210211T160000Z
DTSTAMP:20251031T223900Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Nonlinear and measure-theoretic methods for large biological networks
DESCRIPTION:Speaker: Prof. Dr. Benedetto Piccoli\nAffiliation: Rutgers University, USA\nRequest Zoom meeting link\nAbstract. In this talk, we will present two new techniques developed to study complex biological networks. First, we will analyze new methods for the simulation of a large biochemical network with focus on QSP (Quantitative Systems Pharmacology), virtual patient populations, and tuberculosis. The main idea is to combine knowledge from the fields of: Markov Chains, Compartmental Systems, Control Theory, and others to provide a generalize class of graphs and results on the associated dynamics. Secondly, we will describe a general framework to study reaction-diffusion\nequations on time-evolving manifold and, more generally, mean-field limits. This approach is useful to study problems in Developmental Biology when various ligands diffuse on growing embryos (or egg chambers) to activate morphogenic pathways.\n
URL:https://cmc.deusto.eus/events-calendar/nonlinear-and-measure-theoretic-methods-for-large-biological-networks/
CATEGORIES:FAU CAA Seminar
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