Dillon Pruett

25 posts

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Dillon Pruett

Dillon Pruett

@DillonGPruett

Stuttering research 🗣️ | Florida State University

Tallahassee, FL Katılım Ağustos 2013
563 Takip Edilen224 Takipçiler
Dillon Pruett
Dillon Pruett@DillonGPruett·
Biobanks are huge for biomedical research, but they aren't optimized for conditions like stuttering or other communication conditions. Closing this data gap requires innovative methods and better prospective data collection to unlock their full potential. #StutteringResearch
ASHA Journals@ASHAJournals

Converging etiological evidence supports a genetic risk for developmental stuttering. Authors here present an overview of data sources & strategies that research teams have utilized, highlighting the advantages & limitations of each approach. #OpenAccess on.asha.org/3Jk4SzB

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FSU College of Communication & Information
FSU College of Communication & Information@FSUCCI·
✨CCI is excited to welcome our new faculty members this fall! Stay tuned as we highlight what they're working on throughout the semester. 📚
FSU College of Communication & Information tweet mediaFSU College of Communication & Information tweet media
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Dan Buckley
Dan Buckley@danbuckley·
It’s a @Khruangbin @Lightning100 request lunch! Make a request here for a Khruangbin fav for a chance to see them @Ascend_amp Sept 30th What can we play you? Winner announced live on-air at 1pm ct today
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Dillon Pruett
Dillon Pruett@DillonGPruett·
Looking forward to presenting findings on the genetics of stuttering at #ASHA2022 in New Orleans! Stop by my poster today at 10:30 to learn more.
VUHearingSpeechPhD@VUHearSpeechPhD

Check out @DillonGPruett's poster (9022L): "Sex-Stratified Genetic and Comorbidity Analysis of Stuttering Using DNA Biobank and 23andMe Data" on Thursday, November 17 @ 10:30 AM - 12:00 PM (Location: CC/Hall B1, screen 154) 🤩

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VUHearingSpeechPhD
VUHearingSpeechPhD@VUHearSpeechPhD·
Check out @DillonGPruett's poster (9022L): "Sex-Stratified Genetic and Comorbidity Analysis of Stuttering Using DNA Biobank and 23andMe Data" on Thursday, November 17 @ 10:30 AM - 12:00 PM (Location: CC/Hall B1, screen 154) 🤩
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Cynthia Brame
Cynthia Brame@CynthiaBrame·
Hi Twitter friends--I am working on a project about science identity, and we are looking for a word like "scientist" but without the professional implications. Ideas? [Think "artist"--people embrace that label without requiring it be their profession.]
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Dillon Pruett
Dillon Pruett@DillonGPruett·
@ruthie_johnson Very interesting paper! We used a similar approach to predict under-documented cases of stuttering within the Vanderbilt EHR using associated comorbidities. The algorithm had a positive predictive value of 83% and was used to increase sample size for a stuttering GWAS
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Ruthie Johnson
Ruthie Johnson@ruthie_johnson·
Very excited to see our paper "Electronic health record signatures identify undiagnosed patients with Common Variable Immunodeficiency Disease" out on medRxiv! (1/6) medrxiv.org/content/10.110…
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Dillon Pruett
Dillon Pruett@DillonGPruett·
Very honored to be featured by @VanderbiltU Thanks to my mentors, classmates, and family for the encouragement and support!
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VUHearingSpeechPhD
VUHearingSpeechPhD@VUHearSpeechPhD·
We are LOVING the views from #PhD candidate @DillonGPruett!😍😍 He presented his work characterizing #stuttering comorbidities in the @VUMChealth electronic health records in prepartion for a genome-wide association study at the Molecular Psychiatry Association conference in Maui
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Jennifer “Piper” Below
Jennifer “Piper” Below@piperbelow·
Congrats @DMRuderfer + team! The ability to distinguish clinically relevant patterns within the constellation of diagnostic codes in the electronic health record is such an exciting frontier in genetic medicine. @VUMChealth @VUMCgenetics at the forefront of EHR+BioBank innovation
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Jennifer “Piper” Below
Jennifer “Piper” Below@piperbelow·
Not every trait is well captured in electronic health records, limiting research that can be done. Speech and language traits are especially underreported. @DillonGPruett and my team used machine learning and comorbidity structure to impute stuttering in @VUMChealth's EHR.
VUHearingSpeechPhD@VUHearSpeechPhD

CONGRATS PhD candidate @DillonGPruett & co-authors on this new paper: They leverage electronic health records at @VUMChealth to build predictive models to identify developmental stuttering cases lacking clinical documentation: pubmed.ncbi.nlm.nih.gov/33894541/ #stuttering #machinelearning

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Dillon Pruett
Dillon Pruett@DillonGPruett·
@JacobIFeldman Thanks Jacob-- very excited to share these findings and continue to build upon them!
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Jacob I. Feldman
Jacob I. Feldman@JacobIFeldman·
Congrats to my office-mate @DillonGPruett on his cool, newly published #stuttering work!!! This paper took years of hard work, and the results are really cool, so check it out!
VUHearingSpeechPhD@VUHearSpeechPhD

CONGRATS PhD candidate @DillonGPruett & co-authors on this new paper: They leverage electronic health records at @VUMChealth to build predictive models to identify developmental stuttering cases lacking clinical documentation: pubmed.ncbi.nlm.nih.gov/33894541/ #stuttering #machinelearning

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Keşfet

@Lightning100 @danbuckley @Khruangbin @Ascend_amp @piperbelow @alyssascartozzi @23andMeResearch @CynthiaBrame