Multimodal deep learning for inflammatory bowel disease: a new frontier in cellular and molecular biomarker discovery to clinical translation - PubMed
5 hours ago
- #Inflammatory Bowel Disease
- #Multimodal Integration
- #Deep Learning
- Multimodal deep learning (DL) is advancing precision management of inflammatory bowel disease (IBD) by integrating genomic, transcriptomic, microbiome, metabolomic, imaging, and clinical data.
- DL applications in IBD include molecular biomarker discovery, automated endoscopic and histopathological image analysis, patient stratification, disease monitoring, and prediction of therapeutic response.
- Convolutional neural networks (CNNs) excel in image interpretation and automated scoring for IBD.
- Challenges for clinical translation include limited multi-center datasets, inconsistent annotations, low interpretability, and privacy concerns.
- Addressing these challenges through interpretable, efficient, and privacy-preserving DL frameworks will facilitate real-time monitoring and personalized care in IBD.