Back to search

Article

Deep Learning for Predicting Stem Cell Efficiency for use in Beta Cell Differentiation

2025-05-27

Abstract excerpt

Recent clinical trial data have shown that cell therapy holds curative potential for type-1 diabetes, however the large amounts of lab-grown cells required is a substantial bottleneck. The necessary cell differentiation process exhibits substantial variability, even among clones of induced pluripotent stem cells generated from the same patient. In contrast to many established data sets in medical imaging, human ex...

Topics

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

Identifiers and source

Literature Corpus work
12ca54f0-5987-5ed9-ad91-60f90c27678f
DOI
10.1101/2025.05.22.652867
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 for Predicting Stem Cell Efficiency for use in Beta Cell DifferentiationDOI 10.1101/2025.05.22.652867
Select a neighboring publication to make it the new centre.