Rheum CatAll my mail came at once today and there was a definite π πββ¬ theme.
Including someone (not to be named) who sent their #ACR22 sticker back to me πΉ
Marie Kuchynski MDWhen idle post #ACR22 Twitter chat with @[email protected] @[email protected] and @[email protected] gets swag mailed to you. Thank you so much @[email protected] Support this awesome team
Excited to be part of this @[email protected] podcast about #ACR22 with a great group of participants
@[email protected]
@[email protected] @[email protected]
https://www.arthritis.org/liveyes/podcast/new-podcast/ep69-2022-arthritis-research-highlights
What a lovely little surprise in the mail from @[email protected] So glad we connected and spent some time at #ACR22
Kazuki Yoshida
Daltroy Lecture 2022 Links
Daltroy Lecture 2022 #acr22
Life Hacks in Rheumatic Disease: Lessons Learned from TikTok and Social Media - Lecture Handout
Finally getting around to watching @[email protected]'s #ACR22 Daltroy lecture and wanted to highlight that she took a deep dive into a subject that I have wondered about:
https://slate.com/culture/2022/10/taylor-swift-midnights-anti-hero-video-pen-photos.html
.@[email protected] brings in #ACR22 abs 0905 from @[email protected] @[email protected]
use of #MachineLearning to predict RA dz activity (CDAI) at next visit in #RISE
Predicting Disease Activity in Rheumatoid Arthritis Patients Using Machine Learning: Data from the ACRβs RISE Registry - ACR Meeting Abstracts
Background/Purpose: Predicting the trajectory of disease in individuals with RA is difficult, with numerous factors influencing whether a patient may experience higher or lower disease activity at their next visit. Machine learning (ML) models that leverage variables available in electronic health records (EHRs) from a large number of patients have been used in many medical [β¦]
Doing #ACR22 review (our second one so far) in @[email protected] research meeting and discussing abs 1809 using CARES trial data. Work from @[email protected] @[email protected]