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We built something! Introducing MyVivarium - a cloud-based application framework to manage mouse colonies with integrated ambient sensing. All open source! @biorxivpreprint: biorxiv.org/content/10.110… 🧵
Excited to share our new paper @NatureComms!🧠🔬 Placental allopregnanolone insufficiency induces male-specific autism-like behaviors via microglial dysfunction and PGE2 signaling. Well done Dr Salzbank! #Neuroscience #Autism #Neuroplacentology #Microglia nature.com/articles/s4146…
Today is World Down Syndrome Day! 03-21 (Trisomy 21). Here is an excellent call-to-action for research and advocacy in Lancet Neurology by some of my peers in the @t21rs thelancet.com/journals/laneu…
Not to say we did something similar to @PallidusSensing, but there are certainly parallels. MyVivarium: open-source, cloud-based, cross-device, awesome-sauce, lab animal colony management sciencedirect.com/science/articl…
.@univofdayton students dove into an innovative learning experience with a “molecular biology shark tank,” pitching products or services that address significant societal issues using genes, genomes or genomics: udayton.co/f0X
Shout to the awesome Bin Gu and Margo Shen on their hard-work on this project. Also kudos to awesome premed Abbey Hahn from our lab at @univofdayton on her contribution to this project!
Behavior decoding delineates seizure microfeatures and associated sudden death risks in mice biorxiv.org/cgi/content/sh… #biorxiv_neursci
Shout out to @univofdayton BIO PhD student from our lab: Mir Abbas Raza who is currently learning and doing some cool neuroengineering at the Transatlantic Behavioral Neuroscience Summer School in Poland!
Transatlantic Behavioural Neuroscience Summer School 2024 has started!
This should be the next big thing for machine learning folks to tackle. There are more than enough ethical and even market reasons to do so.
AI can be used to make convincing looking fake data. There is no way we can distinguish real from fake anymore. It is safe to assume that genAI has already resulted in many fake papers. Scientific publishing is not prepared for this.
I often wonder if the push in higher-ed to "teach students how to use AI tools" is wrong-headed. Honestly, it doesn't take much to use and abuse these tools. A quick YouTube vid will do a much better job than any faculty for whom deep learning is not their expertise.
AI can be used to make convincing looking fake data. There is no way we can distinguish real from fake anymore. It is safe to assume that genAI has already resulted in many fake papers. Scientific publishing is not prepared for this.
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