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IBI on Twitter
@gracielagon @UPennHLP @UPennIBI @UPennElectronic Is that double-sided?
My new 3D data visualization map is almost ready! From the Summer Research Experience @UPennHLP @UPennIBI @UPennElectronic It still needs the LED panels, but we are getting there!
Very proud of this work! The system has been thoroughly validated and received approval from the National Board of Medical Examiners. Thanks @sarkerabeed and the wonderful teams at @UPennHLP @UPennIBI @NBMEnow that made this possible. twitter.com/sarkerabeed/st…
1/3. Pre-proof of our paper titled "An interpretable natural language processing system for written medical examination assessment" is now available. The system was developed over 2 years via collab. between @UPennHLP and @NBMEnow. #NLP #USMLE #medicalhttps://t.co/kAmcSDpAA0
— Abeed Sarker, PhD (@sarkerabeed) August 16, 2019
3/3 INCITE threads a fine needle between purely supervised machine learning approaches and purely rule-based ones, and addresses unique constraints associated with medical examination assessment. #machinelearning #NLP #informatics #BioNLP @UPennIBI @UPennDBEI @gracielagon
@MarylynRitchie @PennGenetics @UPennIBI @PennMedicine Thank you so much Marylyn!!
Our work sponsored by @nlm_news and @UPennIBI on Social Media Mining for the study of birth defects was accepted for publication in Digital Medicine @Nature_NPJ #SMM4H 🙌🏽😁 Go @UPennHLP team!
@CRICStudy continues to provide critical insights into #CKD ft. Harold Feldman, J. Richard Landis (@UPennDBEI); Raymond Townsend, Robert Grossman (@PennKidney), @FSilvestryMD (Cardiovascular Medicine); Juan Grunwald (@ScheieEye); & John Holmes (@UPennIBI) bit.ly/2M5pdtj
Congrats! twitter.com/MingyaoLi1/sta…
Congrats to Jian Hu, Justin Lakkis and Yafei Lyu for being selected as semifinalist for the 2019 Charles Epstein Trainee Awards, and Zhen Miao for being selected for a platform presentation at #ASHG19. @UPennDBEI @UPennGCB @UPennIBI
— Mingyao Li (@MingyaoLi1) July 26, 2019
#bigdata #datascience #penn twitter.com/UPennDBEI/stat…
Join us for the 1st @Penn Conference on #BigData in #PopulationHealth Sciences conference: SEPT. 23 & 24, @PennMedicine's Biomedical Research Building. #PennBigData features thought leaders in 8 influential areas: https://t.co/rZgptnJ657 @PennPathLabMed @moorejh @UPennIBI pic.twitter.com/d0Djbwwsty
— UPenn DBEI (@UPennDBEI) July 18, 2019
#penn #informatics @bvoight28 twitter.com/bdi_oxford/sta…
Join Benjamin Voight of @Penn for a BDI seminar on "Genetics studies for cardiometabolic traits facilitated by the Million Veteran Program" on 24 July. Read the abstract: https://t.co/FWqQlVKdh6
— Big Data Institute (@bdi_oxford) July 19, 2019
The Pharmacogenomics Clinical Annotation Tool (PharmCAT) was co-developed by IBI Sr. Fellow Dr. Marylyn Ritchie @MarylynRitchie ncbi.nlm.nih.gov/pubmed/31306493 #pharmacology #informatics #genomics #bioinformatics
New paper from IBI Sr. Fellow Dr. Casey Greene RT @moorejh Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing ncbi.nlm.nih.gov/pubmed/31284738 HT @beaulieujones & @GreeneScientist #deeplearning #informatics #healthit #privacy #security
new #bioinformatics preprint from IBI Senior fellow Dr. Yoseph Barash RT @bxv_bioinf Improving interpretability of #deeplearning models: splicing codes as a case study dlvr.it/R8PMZK #genomics
We are hiring a coordinator for our new Masters in Biomedical Informatics graduate program that launches in the Fall. Please spread the word! jobs.hr.upenn.edu/postings/47175 #informatics #jobs #philadelphia #philly #penn
Happy to help sponsor this exciting educational opportunity. twitter.com/gracielagon/st…
@UPennHLP Summer Research Experience has started! PhD, Undergrads, and High Schoolers all working together. From ASU, U of AZ and Texas A&M, others joining later. Thanks @KevinBCohen and my staff for coordinating and @moorejh @UPennIBI @UPennElectronic for partial sponsorship. pic.twitter.com/xVJg29Uoao
— Graciela Gonzalez-Hernandez, PhD (@gracielagon) June 7, 2019
IBI Senior Fellow @docurbs will be speaking in a #machinelearning workshop for @ChildrensPhila on June 19th. #datascience #penn
MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease - via @GreeneScientist ncbi.nlm.nih.gov/pubmed/31121115 #bioinformatics #genomics