🔥 New study from @desantislab.bsky.social is now published in the journal Communications Medicine Researchers @maxeggl.bsky.social & Silvia De Santis develop a simulation- and AI-based approach to speed up brain MRI scans while maintaining high accuracy More info 👇 in.umh-csic.es/en/articulos...
@maxeggl.bsky.social
Happy to announce a new preprint with @violapriesemann.bsky.social ! We introduce an optimization framework to balance infection costs against mitigation costs during epidemics and pandemics, deriving optimal mitigation strategies rather than fixing policies ad hoc. arxiv.org/abs/2512.11454
Optimizing infectious disease mitigation under dynamic conditions
Mitigation measures are essential for controlling the spread of infectious diseases during pandemics and epidemics, but they impose considerable societal, individual, and economic costs. We developed ...
arxiv.org
We've arrived in San Diego for #SfN25! 🌴🧠 @maxeggl.bsky.social Proudly representing @desantislab.bsky.social and super excited to attend the biggest neuroscience conference. Ready to learn, share, and connect! 🔬✨ #Neuroscience #SfN2025
Excited to be in San Diego to be showing off my work with @tatjanat.bsky.social at #SfN25 #Sfn2025! Come by on Monday and have a look if you are interested in synaptic plasticity and automated analysis of calcium images (PSTR152.15)!
Huge thanks to: 🔹 David Moratal - @upv.es 🔹 @plopezlarrubia.bsky.social - @iibm-csic-uam.bsky.social 🔹 Mohamed Selim - @uniofnottingham.bsky.social 🔹 From @neuroalc.bsky.social: Santiago Canals @canalslab.bsky.social, Silvia De Santis @desantislab.bsky.social & @maxeggl.bsky.social 🙌
With a bit of delay (it’s taken a while to process), I am happy to announce that I was awarded a #RyC2024 fellowship this year! One of the most prestigious research fellowships in Spain, I have been working towards this goal for a long time (with many rejections along the way)!
🧵1/Just published: SpyDen, developed with @tatjanat.bsky.social @surbhitwagle.bsky.social, J. Filling, T. Chater & Y. Goda — an open-source Python tool for analyzing 2D microscopy time-series of neurons. GUI-based, robust, and validated by experts. 🔗 shorturl.at/IVmyM Read on for more: 👇
SpyDen: Simplifying molecular and structural analysis across spines and dendrites
AbstractMotivation. Investigating the molecular composition of different neural compartments such as axons, dendrites, or synapses, is critical for underst
shorturl.at
Our article "Menos tiempo, mejor diagnóstico: cuando la IA alivia las listas de espera en resonancia magnética" was published @es.theconversation.com! It deals with the problem of making MRIs 10x faster without losing accuracy? Let’s dive in! @desantislab.bsky.social @silviadesantis.bsky.social
Just wrapped up the 3rd Bio-inspired Deep Learning Workshop, led by Angus Chadwick (@edinburgh-uni.bsky.social ), with co-organizers Laura Bernaez timon and Janko Petkovic, plus fantastic support from @isabelmaria-c.bsky.social and Arthur Pellegrino. Funded by @jherzstiftung.bsky.social. #NeuroAI 🧵
Exciting news! We got funding to organize "Bio-inspired Deep Learning" workshop near Mainz. This time on the topic of dimensionality reduction techniques and led by Angus Chadwick. Applications are now open for participants from both experimental/ computational backgrounds.
Second highlight of the lab: our first work combining the magic of AI with the power of dw-MRI. Full thread below and on @maxeggl.bsky.social page! 🤖🧲🧠
Also - because we are really proud of this preprint with @desantislab.bsky.social! We applied simulation-based inference to diffusion-weighted MRI (dw-MRI) achieving up to 90% reduction in acquisition time while maintaining high accuracy and robustness. (1/n)
Also - because we are really proud of this preprint with @desantislab.bsky.social! We applied simulation-based inference to diffusion-weighted MRI (dw-MRI) achieving up to 90% reduction in acquisition time while maintaining high accuracy and robustness. (1/n)
Hello Bluesky! I start off on this platform with a new paper announcement: Two of my papers were recently published: ems.press/journals/rmi... and ems.press/journals/rmi..., they explore approaches to control systems with unknown dynamics. 🧵
Optimal agnostic control of unknown linear dynamics in a bounded parameter range | EMS Press
Jacob Carruth, Maximilian F. Eggl, Charles Fefferman, Clarence W. Rowley
ems.press