Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sj ögren's syndrome.

CONCLUSIONS: Our study has shed new light on the possibility of using novel tools to extract hidden, previously unknown and potentially useful information in complex diseases like pSS, facing the challenge of disease phenotyping as a prerequisite for discovering novel specific biomarkers and new therapeutic targets.
PMID: 30156549 [PubMed - in process]

Source: Clinical and Experimental Rheumatology - August 31, 2018 Category: Rheumatology Tags: Clin Exp Rheumatol Source Type: research