Rheum CatNov 22, 2022
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]
Show threadRheum CatNov 22, 2022
we are again discussing the route to accessing clinical trials data https://twitter.com/kaz_yos/status/1591844275528298496?s=20&t=-WvSVIS7Qa3qJvq3cyqFHA
Kazuki Yoshida on Twitter

“@Tuhina_Neogi @rheum_cat @ALGaffoRheumMD @SaraKTedeschi https://t.co/tf21K9GdQx You can get access to it after somewhat tedious application process on Vivli. There could be other hidden gems (RCTs) across these data sharing platforms.”

Twitter
Show threadRheum Cat
I like that the other platform is called #Yoda https://yoda.yale.edu/browsetrials/generic-name
The YODA Project | Trials By Generic Name

Nov 22, 2022 at 4:03pmWeb
Show threadRheum CatNov 22, 2022

.@[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

https://acrabstracts.org/abstract/predicting-disease-activity-in-rheumatoid-arthritis-patients-using-machine-learning-data-from-the-acrs-rise-registry/

Predicting Disease Activity in Rheumatoid Arthritis Patients Using Machine Learning: Data from the ACR’s 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 […]

ACR Meeting Abstracts
Show threadRheum CatNov 22, 2022
Very interesting and we had some remaining Qs from reviewing the poster, a few of which are based on what was the baseline model?