Peter D Galer
@PeterDGaler
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Bioengineering PhD student at UPenn. Researching epilepsy through a multimodal approach.
Philadelphia, PA
Joined December 2021
Study results suggest that some #genetic epilepsies and associated functional outcome measures have distinct quantitative EEG signatures: https://t.co/ge8hT8yPwh
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This study provides a longitudinal perspective on SCN8A-related disorders, paving the way for future precision medicine approaches. https://t.co/4ATySH3mhl
#NeuroX #NeuroTwitter
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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
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Machinelearning models using EMR data identify clinical features predictive of #genetic #epilepsies leading to earlier molecular diagnosis and treatment #precisionmedicine #diagnosticodyssey
https://t.co/QPaEGtRPGn
@PeterDGaler @IngoHelbig
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Key point: Individuals with prior seizures or a later age at onset of epileptic spasms have a higher risk of developing refractory epileptic spasms https://t.co/eU6s1UBqjR
#epilepsy #DEE #ILAE #epilepticspasms
#neonatalseizures #STXBP1 @IlaeWeb @epilepsiajourn @WileyNeuro
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new preprint: "Quantifying interictal intracranial EEG to predict focal epilepsy" https://t.co/MzxwZCVa0N with @BrianLitt2 @katedavis12341 @AkashRPattnaik @ojemannw @alfrelucs @bernabei_john and others
arxiv.org
Intracranial EEG (IEEG) is used for 2 main purposes, to determine: (1) if epileptic networks are amenable to focal treatment and (2) where to intervene. Currently these questions are answered...
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Investigating the genetic contribution in febrile infection-related epilepsy syndrome and refractory status epilepticus @ddecampo @JulieXXian @KRSullivanGC @AlexGonzalezPHL @SarahRuggieroGC @PeterDGaler
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Enriching representation learning using 53 million patient notes through human phenotype ontology embedding @hp_ontology
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Honored to have won best poster at the #AIinMedicine conference. Our work showed that through the electronic medical records, we can predict genetic epilepsy diagnoses years prior to a clinician. #Epilepsy, #Genetics, #HelbigLab, #CHOP, #ENGIN, #PennBioengineering
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Here, a thread on @IngoHelbig's live talk on "Disease trajectories using #genetics and ML" at the first annual #AIinEpilepsy Meeting ...presented at Breckenridge, CO at an altitude of 9,603′ #EMRGenomics #RareDisease #ENDD
@JillianLMcKee @IngoHelbig @ciitizen @cureSYNGAP1 @Prosser_Lab @lab_davidson @EAHellerPhD @SarahRuggieroGC …I’m even later but allow me to join the #SYNGAP1 swag party please? Breckenridge, CO in the background, where we’ll be presenting #NHS data from lab windows above… This will be at the first annual #AIinEpilepsy meeting @IngoHelbig @JillianLMcKee @PeterDGaler @cureSYNGAP1
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....see thread below commenting on our recent preprint on the genetics of #FIRES and status epileptics more broadly https://t.co/qSHyPwHXmc
...new preprint online from our team at @ChildrensPhila The genetic spectrum of febrile infection-related epilepsy syndrome (#FIRES) and refractory status epilepticus by @ddecampo @JulieXXian @SarahRuggieroGC @PeterDGaler @AlexGonzalezPHL
https://t.co/nWBs80v6B4
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…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
pubmed.ncbi.nlm.nih.gov
Leukodystrophies are genetic disorders of cerebral white matter that almost exclusively have a progressive disease course. We became aware of three members of a family with a disorder characterized...
The loss of a gene in hummingbirds was likely a key step in the evolution of metabolic muscle adaptations required for true hovering flight, a new Science study suggests. https://t.co/d5UjCRssI9
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Great to see that our work is reaching more ears and will hopefully make a positive clinical impact! #epilepsy #genetics @IngoHelbig @JulieXXian @shridparth @SarahRuggieroGC
Via @AES: Researchers who took data from electronic medical records identified clinical features associated with genetic epilepsies and hope it may lead to earlier diagnoses: https://t.co/ozzmZX4vHt
#neurotwitter @PeterDGaler @DellMedSchool @harvardmed @nationwidekids @AANMember
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Via @AES: Researchers who took data from electronic medical records identified clinical features associated with genetic epilepsies and hope it may lead to earlier diagnoses: https://t.co/ozzmZX4vHt
#neurotwitter @PeterDGaler @DellMedSchool @harvardmed @nationwidekids @AANMember
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🚨🚨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!
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Congratulations to one of my team, Michael Kaufman on his first paper. Incredible work! @IngoHelbig @shridparth
@JillianLMcKee @JulieXXian
https://t.co/F6MuTTTo1E
onlinelibrary.wiley.com
This longitudinal study offers an unprecedented look into the impact of telemedicine on child neurology care and how it compares to in-person encounters during the first year of the COVID-19 pandemic
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...preprint alert Enriching Representation Learning Using 53 Million Patient Notes through Human Phenotype Ontology Embedding https://t.co/CGPs2nasnk
@shridparth @CHOPDBHi @CHOP_Research @DLSneurocyclist
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Pleased to announce our review of #neurodevelopmental #epilepsy @hp_ontology phenomics & EHR analysis @IngoHelbig @Dr_Rhys @JulieXXian @shiva_bfx @PeterDGaler @human
onlinelibrary.wiley.com
Making a specific diagnosis in neurodevelopmental disorders is traditionally based on recognizing clinical features of a distinct syndrome, which guides testing of its possible genetic etiologies....
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Our STXBP1 paper is finally on PubMed | here is one of our figures with seizure history reconstruction that we hope to expand further in the near future @JulieXXian @curestxbp1
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