Study results suggest that some #genetic epilepsies and associated functional outcome measures have distinct quantitative EEG signatures: https://t.co/ge8hT8yPwh
This study provides a longitudinal perspective on SCN8A-related disorders, paving the way for future precision medicine approaches.
https://t.co/4ATySH3mhl
#NeuroX#NeuroTwitter
The Department of #PennBioengineering along with Drs. @BrianLitt2 and Ingo Helbig proudly announce the Doctoral Dissertation Defense of @PeterDGaler.
"Quantitative Informatics Approaches to Characterize and Predict Childhood Genetic Epilepsies"
9/18
1:00pm
https://t.co/mtBX98XwoQ
new preprint: "Quantifying interictal intracranial EEG to predict focal epilepsy" https://t.co/MzxwZCVa0N with @BrianLitt2 @katedavis12341 @AkashRPattnaik @ojemannw @alfrelucs@bernabei_john and others
...we identified optimal age windows through #virtual#clinical#trials using real-world data
...implications for clinical trial-readiness in STXBP1 and other genetic epilepsies
...to be presented next week at the STXBP1 Summit in Milan, and more on #STXBP1 to come...
Investigating the genetic contribution in febrile infection-related epilepsy syndrome and refractory status epilepticus
@ddecampo @JulieXXian @KRSullivanGC @AlexGonzalezPHL @SarahRuggieroGC @PeterDGaler https://t.co/wGw6WM6hfW
…the same gene that allows hummingbirds to hover when absent
…leads to a remitting #leukodystrophy in humans
#FBP2
fructose 1,6-bisphosphatase
https://t.co/IMZmTP1QXx
🚨🚨new preprint!!🚨🚨: A quantitative tool for seizure severity: diagnostic and therapeutic applications
https://t.co/PRKdmcbcOY
We combine iEEG and semiology + clinical validation!
w/ @ojemannw @bscheid@bernabei_john @katedavis12341 @_Nishant_Sinha@BrianLitt2 & others!
...preprint alert
Enriching Representation Learning Using 53 Million Patient Notes through Human Phenotype Ontology Embedding
https://t.co/CGPs2nasnk
@shridparth@CHOPDBHi@CHOP_Research@DLSneurocyclist