All News
Taking AI Out of AutoImmunity: Predicting disease before it develops
the predictive value of a positive ANA test—especially in the absence of other clinical symptoms—remains a challenge. A positive test often leads to further testing, yet it does not necessarily indicate whether a patient truly has an underlying autoimmune disease. The development of AI and machine learning algorithms presents an opportunity to interpret autoantibody tests and predict autoimmune diseases. Here are three studies looking at this issue.
Read ArticleTheDaoIndex KDAO2011 ( View Tweet)
Abst#1493 complete renal response (< 0.5 g/g w/< 10 mg/day pred); renal remission (UPCR < 0.3 g/g w/< 5 mg/day pred). 60 LN pts followed 3 yrs: 40% CRR & 19% RR. Pts not in CRR/RR had⬇️eGFR w/more decline in eGFR over time. No difference b/t CRR/ RR @rheumnow #ACRbest #ACR24
TheDaoIndex KDAO2011 ( View Tweet)
Akhil Sood MD AkhilSoodMD ( View Tweet)
VERY exciting SLE update from Fava et al. Machine learning used to generate urinary protein panel predictive of intra-renal inflammation BETTER than serum biomarkers C3, C4, dsDNA Also monitoring tool for renal response. Outstanding. @RheumNow #ACRbest #ACR24 https://t.co/YXgKrSU4UQ