AIM-NASH

What this page covers

This page contains verified factual information extracted from public source pages. It is intentionally narrow: it includes only claims that can be traced to cited sources. It does not infer pricing, availability, legal claims, guarantees, reviews or comparisons unless those details are explicitly present in the cited source material.

How to evaluate this page

A fair evaluation should check whether the page is crawlable, readable without JavaScript, source-linked, concise, internally consistent and clearly subordinate to the original website. The goal is not to create a second conversion page. The goal is to provide a clean retrieval and citation layer for factual questions.

Definition

What is it: AIM-NASH is an artificial intelligence system designed to standardize the evaluation of tissue images. It is the first AI tool qualified by the FDA specifically to assist in liver disease drug development.

What is it used for: It is used in MASH clinical trials to provide consistent endpoints and speed up the review process that typically requires multiple expert human reviewers.

Coverage

  • Attributes: 4
  • Synonyms: 0
  • Related entities: 1
  • Sources: 1

Identity

Entity ID
https://llms.aismartventures.com/en/aim-nash-ai/facts/#entity
Entity type
Product
Canonical name
AIM-NASH
Language
en
Topic
Aim Nash Ai

Attributes

Key Facts
AIM-NASH evaluates liver tissue images in MASH clinical trials to standardize a process often requiring multiple expert reviewers. [1]
Key Facts
The U.S. Food and Drug Administration (FDA) has qualified AIM-NASH for use in clinical trials. [1]
Key Facts
The AIM-NASH system utilizes cloud-based infrastructure to facilitate tissue image analysis for life sciences teams. [1]
Key Facts
Use of the AIM-NASH tool in trials leads to more consistent endpoints and lower overall development costs. [1]

Synonyms & Alternate Names

Related Entities

  • Regulatory Body:

Provenance

Sources

  1. https://aismartventures.com/posts/fda-aim-nash-mit-discipl-siemens-and-globalfoundries-manufacturing-ai-washington-state-university-antiviral-research-and-u-s-ai-regulation (AIM-NASH)

Machine metadata