SysBio

We are an interdisciplinary group working in Systems Biology. We participate in interdisciplinary projects with theoretical and experimental groups

[SysBio @SysBioGroup]

You can find the original publication in:
https://t.co/d7FaDlM8Jv

[SysBio @SysBioGroup]

Osvaldo Chara and Juan Fernández were interviewed (in Spanish) on the CONICET website regarding SysBio’s new article on cardiac syncrhony. Here you can find the interview:
https://t.co/YSs7hBSdir

[SysBio @SysBioGroup]

We have recently implemented this method through a custom device and software.
This study has been performed with the support from @SysBioGroup, @CONICETDialoga, @agenciaidiar y @Htal_Britanico.

[SysBio @SysBioGroup]

Optimizing heart sisto-diastolic function: Is there a way to improve the work of a dysfunctional heart?
Check out this article from Chara’s lab in collaboration with @Htal_Britanico by @Osvaldo_Chara, @damiosp and @Juan08319226.
https://t.co/d7FaDm3JB3

[SysBio @SysBioGroup]

Since it is solely based on the patient´s surface electrocardiogram, our method can be easily implemented in any scenario where cardiac synchrony needs to be assessed. This is of particular interest during CRT candidate selection, device implant and post implant optimization.

[SysBio @SysBioGroup]

Ultimately, our study gives a simple criterion (based on the Crossover Length) to select a finite or infinite approximation when modelling Reaction-Diffusion systems to study tissue morphogenesis.
(9/9)

[SysBio @SysBioGroup]

When is it OK to assume a tissue as infinite? Read the last article from Chara's lab by @CeccarelliAS , @borgesaugust and @Osvaldo_Chara about spatiotemporal distribution of morphogens!

https://t.co/7kj7mraSA2

(1/9)

[Royal Society Publishing @RSocPublishing]

Size matters - tissue size as a marker for a transition between reaction–diffusion regimes in spatio-temporal distribution of morphogens: https://t.co/xIhVhRcEpk #RSOS #OpenAccess #ComputationalBiology #biophysics

[SysBio @SysBioGroup]

The analytical solution of the finite-domain reaction-diffusion model and its extensions could improve the efficiency of computational multi-scale algorithms involving a signalling scale.
(8/9)

[SysBio @SysBioGroup]

Congratulations to @_CamiloRG, and @TatiSandGuz for their new adventure in @DevelopmentalDy exploring post-embryonic development and aging of the appendicular skeleton in axolotls. Collaboration with @CeccarelliAS and @Osvaldo_Chara from @SysBioGroup
https://t.co/OhlL8KFfQW