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Eder Zavala - Developing a mathematical understanding of physiological chronodisruption

Patterned pufferfish scales demonstrating a Turing pattern in the natural world
Dates:4 November 2020
Times:13:00 - 14:00
What is it:Seminar
Organiser:Department of Mathematics
Who is it for:University staff, External researchers, Current University students
Speaker:Eder Zavala
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  • Mathematics in the life sciences
  • Department of Mathematics

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  • In category "Seminar"
  • In group "(Maths) Mathematics in the life sciences "
  • In group "(Maths) Maths seminar series"
  • By Department of Mathematics

(via Zoom) Join us for this seminar by Eder Zavala (Birmingham) as part of the North West Seminar Series in Mathematical Biology and Data Sciences. Details of the full series can be found here https://www.cms.livjm.ac.uk/APMSeminar/ (please contact Mirela Domijan (Mirela.Domijan@liverpool.ac.uk) for Zoom link)

Abstract: The effective translation of our understanding of body rhythms into new strategies for diagnosis that truly benefit human populations is lagging. By the same token, we lack a suitable theoretical framework to understand how the chronodisruption of physiological processes can lead to disease. This prevents the advancement of personalised clinical interventions that take into account the body’s internal time. In this talk, I will show how mathematical modelling and a range of data analysis techniques can help us address these challenges. My analysis will focus on the circadian and ultradian variability of metabolic and stress hormones in different physio- pathological scenarios, and how we can use the insight from mathematical methods to support diagnosis.

To subscribe to the mailing list for this event series, please send an e-mail with the phrase “subscribe math-lifesci-seminar” in the message body to listserv@listserv.manchester.ac.uk

Speaker

Eder Zavala

Role: MRC Skills Development Fellow

Organisation: University of Birmingham

  • https://www.birmingham.ac.uk/staff/profiles/metabolism-systems/Zavala-Eder.aspx

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carl.whitfield@manchester.ac.uk

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