AIM-NASH-DDT-manuscript

This repository contains code used for generating analyses and visualizations for Iyer et al., AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials

Table 1

A-prepare-data.ipynb

B-Cougar-concordance.ipynb

B-Cougar-InterPathConcordance.ipynb

Figure 3

B-Cougar-enrollment.ipynb

B-test-cougar-change.ipynb

Figure 4

01-ATLAS-LoadData-v3.ipynb

02-ATLAS-PrimaryEndpoints-v3.ipynb

Figure 5

G-Cougar-CNASH.ipynb

02-ATLAS-PrimaryEndpoints-v3.ipynb

ST34ContinuousAnalysisDraft.ipynb

Shared code

atlas_nash_util.py

concordance_stats.py

hif_util.py

nb_util.py