Back to search

Article

Deep learning models reading clinical data and liver omics strongly distinguish NASH from steatosis and suggest new genes involved in liver disease severity

2025-10-10

Abstract excerpt

<h4>Background & Aims</h4> Metabolic dysfunction-associated steatotic liver disease (MASLD, previously NAFLD) is a frequent co-morbidity of obesity and diabetes, with prevalence increasing worldwide in all age groups and both sexes. Only early stages of the disease are fully reversible. Recognising liver disease stages and elucidating the molecular underpinning of their progression are thus medically important. W...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
eb736b18-5b3e-5e66-963c-7c4a1c627d2b
DOI
10.1101/2025.10.10.681581
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Deep learning models reading clinical data and liver omics strongly distinguish NASH from steatosis and suggest new genes involved in liver disease severityDOI 10.1101/2025.10.10.681581
Select a neighboring publication to make it the new centre.