Artificial intelligence for predicting treatment responses in autoimmune rheumatic diseases: advancements, challenges, and future perspectives

Artificial intelligence for predicting treatment responses in autoimmune rheumatic diseases: advancements, challenges, and future perspectives

Autoimmune rheumatic diseases (ARD) present a significant global health challenge characterized by a rising prevalence. These highly heterogeneous diseases involve complex pathophysiological mechanisms, leading to variable treatment efficacies across individuals. This variability underscores the nee...

Full description

Saved in:
Bibliographic Details
Main Authors: Yanli Yang, Yang Liu, Yu Chen, Di Luo, Ke Xu, Liyun Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-10-01
Series:Frontiers in Immunology
Subjects:
artificial intelligence
machine learning
autoimmune rheumatic diseases
therapeutic response
deep learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1477130/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items