---
title: "AI transforms liver disease research | Google DeepMind Blog"
description: "Via Google DeepMind Blog: Biomedical research generates overwhelming volumes of data that human researchers cannot fully comprehend. At the University of Edi..."
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### AI transforms liver disease research

Google DeepMind Blog • May 16, 2026 at 4:00 AM ET

[×](/id/dev?tab=deepmind)

Biomedical research generates overwhelming volumes of data that human researchers cannot fully comprehend. At the University of Edinburgh, bioengineer **Filippo Menolascina** leverages Google DeepMind's Co-Scientist to navigate this information deluge. His team targets metabolic dysfunction-associated steatohepatitis (MASH), a complex liver disease where traditional single-target approaches fail due to intertwined biological processes.

The combinatorial explosion of potential drug pairings presents a significant challenge. Menolascina employed Co-Scientist to systematically analyze literature across liver biology and pharmacology. The AI tool synthesized evidence, identified promising mechanisms, and flagged candidate combination therapies for experimental testing, dramatically accelerating the normally arduous research process.

In one practical application, Co-Scientist investigated why the drug resmetirom only helps a narrow subset of MASH patients. The AI pinpointed the **NLRP3 inflammasome** as the molecular bridge connecting inflammation and metabolism—a previously unrecognized connection. This experimentally verified hypothesis now provides a concrete foundation for developing targeted dual-therapies.

[Read original article](https://deepmind.google/blog/accelerating-discovery-of-liver-disease-mechanisms/)

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