BEGIN:VCALENDAR
VERSION:2.0
PRODID:researchseminars.org
CALSCALE:GREGORIAN
X-WR-CALNAME:researchseminars.org
BEGIN:VEVENT
SUMMARY:Johannes Borgqvist (Chalmers)
DTSTART:20251015T111500Z
DTEND:20251015T120000Z
DTSTAMP:20260422T155153Z
UID:gbgstats/95
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/95/
 ">HeMiTo-dynamics: a characterization of mammalian prion toxicity using no
 n-dimensionalization\, linear stability and perturbation analyses</a>\nby 
 Johannes Borgqvist (Chalmers) as part of Gothenburg statistics seminar\n\n
 Lecture held in MVL14.\n\nAbstract\nPrion-like proteins play crucial parts
  in biological processes in organisms ranging from yeast to humans. For in
 stance\, many neurodegenerative diseases are believed to be caused by the 
 production of prion-like proteins in neural tissue. As such\, understandin
 g the dynamics of prion-like protein production is a vital step toward tre
 ating neurodegenerative disease. Mathematical models of prion-like protein
  dynamics show great promise as a tool for predicting disease trajectories
  and devising better treatment strategies for prion-related diseases. Here
 in\, we investigate a generic model for prion-like dynamics consisting of 
 a class of non-linear ordinary differential equations (ODEs)\, establishin
 g constraints through a linear stability analysis that enforce the expecte
 d properties of mammalian prion-like toxicity. Furthermore\, we identify t
 hat prion toxicity evolves through three distinct phases for which we prov
 ide analytical descriptions using perturbation analyses. Specifically\, pr
 ion-toxicity is initially characterized by the healthy phase\, where the d
 ynamics are dominated by the healthy form of prions\, thereafter the syste
 m enters the mixed phase\, where both healthy and toxic prions interact\, 
 and lastly\, the system enters the toxic phase\, where toxic prions domina
 te\, and we refer to these phases as HeMiTo-dynamics. These findings hold 
 the potential to aid researchers in developing precise mathematical models
  for prion-like dynamics\, enabling them to better understand underlying m
 echanisms and devise effective treatments for prion-related diseases.\n\nA
 t this point in time\, the work has been solely focused on analysing a cla
 ss of mathematical models of prion diseases. Next\, the plan is to start t
 wo new projects involving experimental data from medical collaborators. In
  short\, these projects involve identifying an unknown conversion function
  in our class of prion models using time series data in combination with p
 hysics informed neural networks\, as well as spatial modelling of how prio
 ns are distributed over time in diseased brains. The main aim of this talk
  is to start a discussion about these collaboration projects\, and any inp
 ut would be greatly appreciated.\n\nThe slide-based presentation is made i
 n beamer\, and I will bring my own laptop to the presentation.\n
LOCATION:https://researchseminars.org/talk/gbgstats/95/
END:VEVENT
END:VCALENDAR