📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Utilising an in silico model to predict outcomes in senescence-driven acute liver injury (2024)

First Author: Ashmore-Harris C

Attributed to: MICA: Exploiting in silico modelling to address the translational bottleneck in regenerative medicine safety funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1038/s41536-024-00371-1

Publication URI: http://dx.doi.org/10.1038/s41536-024-00371-1

Type: Journal Article/Review

Parent Publication: npj Regenerative Medicine

Issue: 1