XBIOM™ · IGO & Insights, Nonclinical

Cross-study analytics, visualized as Integrated Graphics Objects

A nonclinical study repository with study and cross-study search, analytics, and visualization. Capture insights as IGO-driven TFL objects, figures, tables, and listings, with annotations for any selected cohort.

Study & cross-study search Safety & toxicology analytics SEND data warehouse Saveable TFL objects
XBIOM IGO · cross-study workspace TFL
Body Weight Lab Findings Histopath Correlation
120 60 0
Ctrl
LD
MD
HD
Group mean ± SD High dose
4 dose groups · mean ± SD · n=40 IGO saved to study
Xbiom Nonclinical Insights

Longitudinal integration for search & discovery

Disparate components of nonclinical studies are integrated longitudinally into a repository for search and discovery of signals or cohorts based on specified criteria. Researchers capture insights by generating IGO-driven TFL objects, and save them for future access and publishing.

Safety & toxicology analysis and visualization of study and cross-study analytics.

Data maintained in a Universal Data Model with harmonized terminology and normalized units for easy repurposing, including generation of SEND datasets.

Monitoring of interim data from ongoing studies.

Data loading and adaptors for disparate sources as well as SEND datasets.

Generate TFL objects with figures, tables, and listings, annotated for any selected cohort, and saved for future access and publishing.

The IGO chart library

Publication-quality figures, tables & listings

Integrated Graphics Objects render safety and toxicology data into interactive, annotated visualizations, ready to save as reusable TFL objects.

Line graph with SD for body weight and bar graph with individual data points for lab findings, separated by sex
Line & Bar Graphs with SD

Body Weight & Lab Findings

The line graph shows how values change over time, with lines for the average and error bars for variation (SD). The bar graph compares group averages, with individual values "exploded" as dots per subject to show data spread.

Z-transformation chart showing changes in liver parameter values over time versus control group
Z-Transformation

Liver Parameters

Shows changes in liver parameter values over time and comparison with the control group, normalized for clear cross-group interpretation.

Correlation charts with linear regression lines between selected parameters
Correlation Charts

Regression Lines

Displays relationships between selected parameters with linear regression lines, surfacing trends and outliers across the cohort.

Correlation chart for liver parameters using Pearson and Spearman methods
Correlation Chart

Liver Parameters · Pearson & Spearman

Calculates and presents the correlation strength between parameters using both Pearson and Spearman methods for comprehensive statistical insight.

Histopathology consolidated heatmap view organized by group, sex and organs
Special View · Histopathology

Consolidated View

Shows remarkable findings incidence organized by group, sex and organs in a heatmap view, for fast signal scanning across the study.

Histopathology treemap view with nested rectangles sized by subjects affected per organ and finding
Special View · Histopathology

Treemap View

Displays data as nested rectangles sized by the number of subjects affected per organ and finding, making magnitude immediately legible.

Histopathology sunburst and magnifier view in interactive circular format
Special View · Histopathology

Sunburst & Magnifier View

Explore histopathology data in an interactive circular format, with zoom-in features to see deeper levels of information.

Histopathology navigator charts that adjust all dimensions in real time
Special View · Histopathology

Navigator View

View and understand the data interactively using navigator charts, where any dimension, and all dimensions, adjust the data in real time.

Histopathology and necropsy data compared to longitudinal or end-point clinical pathology results
Cross-Domain Correlation

Histopathology & Necropsy vs Clinical Pathology

Analyzes histopathology and necropsy data compared to longitudinal or end-point clinical pathology results, linking findings across domains.

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