medinform.jmir.org/2022/3/e3…
Happy to share with you this first #PharmWAS, generating pharmacological hypotheses in an exploratory fashion through EHR data, for COVID-19.
Antoine Neuraz retweeted
We have the pleasure to introduce you to our guests who will join us at the AI Meetup about Transformers models and architectures 🤖
Subscribe to our 1h webinar in 🇫🇷 on May 12th 11:30 CET to learn more about their experience 🦾
Thanks @UNiFAi_app @aneuraz meetup.com/fr-FR/Artificial-…
Synergy between expert #knowledge and #deep-learning for the extraction of medication information from clinical texts. #NLP
medinform.jmir.org/2021/3/e1…
@APHP @Inserm @universiteparis @hopital_necker @CRCordeliers
Antoine Neuraz retweeted
What Every Reader Should Know About Studies Using Electronic Health Record Data but May be Afraid to Ask @jmirpub buff.ly/3pFxWSu Especially in light of public missteps in #COVID19 publications. key issues reviewed by international members of #4CE buff.ly/3brfdEV
Antoine Neuraz retweeted
Congrats @zakkohane and Jason Moore and the rest of the #4CE team - nice highlight in @washingtonpost
Artificial intelligence and covid-19: Can the machines save us? - The Washington Post
#AI #COVID19 washingtonpost.com/health/co…
How to use a combination of #BERT and TF-IDF for topic modeling. benefit? intrepretable topics.
towardsdatascience.com/topic…
#NLP
Antoine Neuraz retweeted
4CE is an intl. consortium for EHR data-driven studies of the COVID-19 #pandemic. The goal of this effort is to inform doctors, epidemiologists & the public about #COVID19 patients with data acquired through the #healthcare process. covidclinical.net/ #Informatics #idchat
you like @PyTorch ? You will love this #awesome repo maintained by @RitchieNg: github.com/ritchieng/the-inc…
Antoine Neuraz retweeted
A post about some of the ingredients that enabled us to do the study in 4 weeks across 96 hospitals in 5 countries. bit.ly/3aFMrQi Thanks for kind words @hmkyale Also kudos for @medrxivpreprint which allowed us to get the word out early.
We note… 'some people who gain access to extensive data lack the skills to evaluate, analyze, or interpret it,and journals, in their haste, are often not prepared to adequately review such studies.’ Th 4CE group did it right. @Nature_NPJ
#DigitalHealth #Covid_19 @jkvedar
Antoine Neuraz retweeted
Nice work from @Inserm
UMRS showing how natural language processing can improve clinical characterizations of #covid19 patients from EHR data @jmirpub bit.ly/3g8Dnoh
How #NLP can help amplifying signals in #EHR. Example with an emergent disease like #COVID19 published in @jmirpub . jmir.org/2020/8/e20773/
@APHP @InstitutImagine @UParisDescartes
Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic jmir.org/2020/8/e20773/
“Understanding Capsule Networks — AI’s Alluring New Architecture” by @nick_bourdakos medium.freecodecamp.org/unde…
Antoine Neuraz retweeted
How a smartphone app + #AI can digitize the symptoms of #Parkinsons disease jamanetwork.com/journals/jam… @JAMANeuro @AndongZhan @suchisaria @HopkinsMedicine @UofR @JohnsHopkins
Antoine Neuraz retweeted
Snips NLU is an Open Source, Private by Design alternative to Dialogflow, Amazon Lex, and other NLU… buff.ly/2pwpDw8
Antoine Neuraz retweeted
Machine Learning Translation and the Google Translate Algorithm buff.ly/2FZEl4M
“Using Deep Learning for Structured Data with Entity Embeddings” by Rutger Ruizendaal towardsdatascience.com/deep-…