What a talk. @DrPujaMehta1 on the big stage, with a truly inspirational talk in the #ACR23 Daltroy Lecture. If you have any thoughts at all on DEI, or just are curious, you need to watch this. I need to listen to it again, but two initial key points for me: @RheumNow https://t.co/G4lngvpdS7

Phase 2 RCT of TLL-018 (JAK1/TYK2i) vs Tofa in RA. 101 patients. ACR50 72% vs 42%. 83% of tofa-IR achieved ACR50 on TLL-018. Can't wait for the phase 3 data! Abstr#0840 #ACR23 @RheumNow #ACRbest https://t.co/wjGx4Edxyb https://t.co/n6CL8G01Wo

Two initial points for me: 1. Challenge how we see all this, lot of current thinking misses the mark 2. Action, not just acknowledgement, but needs to be thoughtful about what it achieves, not just reactive I’m not doing it justice. Listen to the whole thing! #ACR23 @RheumNow https://t.co/ydb8COnqtA

@Yuz6Yusof @RheumNow @EBRheum Look at all these @RheumNow people here in person #ACR23! https://t.co/aoxirYrxIU

Finger fold index (FFI) calculated by deep neural network model reliable for metrical analysis and detection of swelling in RA with 91% accuracy. Mean FFI significantly higher in RA vs healthy controls PIP joints @marcblanchard23 Abst#0402 #ACR23 @RheumNow https://t.co/jmPvwzf2m8 https://t.co/DOZoV0xSsd

Great meeting @Janetbirdope at @RheumNow stand and being in the faculty together reporting at #ACR23, she is a great teacher with lots of great content on her site so do follow her https://t.co/zK9jihqjgy

Urinary biomarkers precede loss of kidney fxn in LN by @andreafava #Ab0850 @RheumNow #ACR23 73 pts w LN. 44% devel GFR loss Elevation of urinary biomark of histo activity at 6, 12 mo predict GFR loss at 3 yrs - esp IL-16, >> proteinuria Combo biomark 12 mo: AUC 0.95 #ACRBest https://t.co/M7sfpCm7Kz

Access all areas - behind the scene 🎬 @RheumNow with fantastic colleagues and crews 🤩🙌🏻🫶🏼 https://t.co/ZHwcPZt7kh

AI predict ANA specific Abs? @AliDuarteMD Ab#0852 #ACR23 @RheumNow 410K pts test for ANA HEp-2 IFA (136K pos, 47K specific autoAb) AI prediction models >0.80 AUC exc for RNP, Scl70 More predictive than traidtional staining patterns (p<0.001), except centromere (similar) https://t.co/4ZvP79rEdl