Deep learning-based prediction of autoimmune diseases
Abstract Autoimmune Diseases are a complex group of diseases caused by the immune system mistakenly attacking body tissues. Their etiology involves multiple factors such as genetics, environmental factors, and abnormalities in immune cells, making prediction and treatment challenging. T cells, as a...
Saved in:
Main Authors: | Donghong Yang, Xin Peng, Senlin Zheng, Shenglan Peng |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-025-88477-4 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Magnetic resonance imaging-based deep learning for predicting subtypes of glioma
by: Zhen Yang, et al.
Published: (2025-01-01) -
Predictive Control for Steel Rib Bending Based on Deep Learning
by: Yijiang Xia, et al.
Published: (2024-12-01) -
Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis
by: Alessio Gerussi, et al.
Published: (2025-02-01) -
Inflammatory Mediators in Autoimmunity and Systemic Autoimmune Diseases
by: Britt Nakken, et al.
Published: (2015-01-01) -
CDR-Detector: a chronic disease risk prediction model combining pre-training with deep reinforcement learning
by: Shaofu Lin, et al.
Published: (2024-12-01)