ToxCore Prime is statistical analysis software designed for toxicology, toxicity assessment, preclinical research, pharmaceutical research, chemical safety, and laboratory data analysis.
Analyze treatment effects, dose-response relationships, mortality and incidence data, body and organ weights, hematology, clinical chemistry, survival data, and repeated measurements using appropriate statistical tests and modelling approaches.
From experimental data to statistical insight — ToxCore Prime helps simplify toxicology data analysis.
Toxicology studies generate complex datasets involving control groups, treatment groups, dose levels, repeated measurements, categorical observations, and dose-dependent biological responses.
Researchers can move from data analysis to statistical testing, visualization, and interpretation within a streamlined workflow.
Analyze Treatment Groups and Experimental Effects
One of the primary objectives of toxicology research is determining whether a treatment produces a measurable change compared with a control group or another treatment level.
ToxCore Prime supports appropriate statistical approaches including:
ANOVA for comparing multiple groups when assumptions are satisfied.
Dunnett's test for comparing multiple treatment groups with a common control.
Tukey's test for appropriate all-pairwise comparisons between groups.
This provides researchers with a flexible framework for analyzing treatment-related effects across different experimental designs.
Statistical Methods for Non-Normal Toxicology Data
Toxicology datasets may not always satisfy the assumptions required for parametric statistical methods.
For appropriate datasets, ToxCore Prime supports:
These methods can be used for appropriate independent-group comparisons and post-hoc analysis when a non-parametric approach is required.
Statistical Analysis of Toxicological Observations
Toxicology studies frequently generate categorical outcomes, including:
Fisher's Exact Test can be used for appropriate categorical datasets, particularly where sample sizes or expected frequencies are small.
Analyze Dose-Dependent Biological Responses
Understanding how biological responses change with increasing dose or exposure is central to toxicity analysis.
ToxCore Prime supports statistical approaches for investigating dose-response relationships and ordered treatment trends.
Jonckheere–Terpstra Test
For appropriate ordered non-parametric trend analysis.
Williams' Test
For appropriate ordered dose-response comparisons against a control.
Regression Analysis
For investigating relationships between dose, concentration, exposure, and measured biological response.
Probit and Logit Dose-Response Models
For appropriate quantal dose-response or concentration-response datasets, Probit and Logit models can be used to investigate the probability of a defined response.
Applications may include estimation of:
LC50 — Median Lethal Concentration
EC50 — Median Effective Concentration
The appropriate model depends on the endpoint, study design, and characteristics of the dataset.
Quantitative Dose-Response Assessment
Benchmark Dose (BMD) modelling provides a framework for estimating a dose associated with a predefined Benchmark Response (BMR).
BMD approaches can be useful in toxicological and chemical safety research when researchers need to characterize dose-response relationships beyond simply identifying an observed-effect level.
When toxicology experiments involve survival or time-to-event outcomes, ToxCore Prime supports appropriate:
These methods can be used to examine survival patterns and compare survival distributions between suitable experimental groups.
Mixed-Effects Models
Many preclinical studies collect measurements from the same subjects at multiple time points.
Mixed-effects models provide a framework for analyzing appropriate repeated-measures and longitudinal datasets, while accounting for subject-level variability and correlations between repeated observations.
Applications include:
Analyze Common Toxicology Study Endpoints
ToxCore Prime can support statistical analysis of appropriate datasets generated from a wide range of toxicology and preclinical endpoints.
Analyze body-weight, absolute organ-weight, and relative organ-weight measurements across appropriate treatment groups.
Evaluate measured hematological parameters across control and treatment groups.
Analyze biochemical and clinical chemistry measurements generated during preclinical and toxicology studies.
Analyze appropriate mortality, incidence, and categorical observation data.
Perform statistical analysis of suitable quantitative or categorical histopathology datasets.
Analyze repeated observations collected from the same experimental subjects across multiple time points.
Statistical Analysis for OECD/OCDE Guideline-Based Studies
The OECD Test Guidelines provide internationally recognized methods for testing the potential health and environmental effects of chemicals.
ToxCore Prime provides statistical methods that can be applied to appropriate datasets generated from OECD/OCDE Test Guideline-based toxicology and chemical safety studies.
Depending on the study design and endpoint, researchers can perform statistical analyses involving:
Treatment groups | Dose-response relationships | Categorical outcomes | Survival data | Repeated measurements
What Is Toxicity Assessment?
Toxicity assessment is the systematic evaluation of whether a chemical, drug, compound, formulation, or other exposure can produce harmful biological effects and under what conditions those effects occur.
Toxicity assessment may involve endpoints such as:
Statistical analysis helps researchers evaluate observed differences, treatment effects, dose-related trends, and associations within experimental datasets.
Toxicity may be classified according to exposure duration, route of exposure, target organ, or biological effect.
Common areas include:
The statistical analysis required depends on the study design, endpoint, and characteristics of the collected data.
Can AI Be Used to Predict Toxicity?
Yes. AI and machine-learning approaches can be used for toxicity prediction in certain applications.
AI models may analyze chemical, molecular, biological, or experimental datasets to identify patterns and generate predictions regarding potential toxic effects.
However, toxicity prediction and statistical analysis are different functions.
EPA Toxicity Testing & Data Analysis
The term EPA test can refer to different testing procedures associated with the U.S. Environmental Protection Agency, depending on the substance, endpoint, organism, exposure route, and regulatory purpose.
EPA-related studies may generate experimental datasets requiring statistical analysis.
ToxCore Prime can be used to analyze appropriate experimental toxicology datasets generated under relevant study protocols.
A Practical Statistical Environment for Toxicology Research
Access a broad range of statistical tests and modelling approaches within one platform.
Analyze appropriate datasets involving treatment groups, dose levels, control groups, mortality, incidence, laboratory parameters, and longitudinal measurements.
Select statistical methods according to the study design, data type, assumptions, and research question.
Move from experimental data to statistical analysis, visualization, and interpretation within a streamlined workflow.
Support statistical analysis across pharmaceutical, chemical safety, laboratory, and preclinical research applications.
ToxCore Prime can be relevant to:
Toxicology software is used to analyze, interpret, model, or manage data generated during toxicology and safety studies. Statistical toxicology software focuses specifically on statistical analysis of experimental toxicology datasets.
Toxicity analysis involves evaluating experimental data to understand whether a substance, treatment, or exposure produces harmful biological effects and whether those effects vary with dose or exposure.
Toxicity assessment is the systematic evaluation of potential harmful effects associated with a substance or exposure using appropriate experimental, biological, and analytical evidence.
ToxCore Prime can be used for appropriate statistical analysis of toxicology and preclinical datasets, including treatment-group comparisons, dose-response analysis, categorical data, survival data, and repeated measurements.
Yes. AI and machine-learning models can be used in certain applications to predict potential toxicity from chemical, molecular, biological, or experimental data. AI-based prediction is distinct from statistical analysis of experimental toxicology data.
Common categories include acute, repeated-dose, chronic, reproductive, developmental, genotoxic, carcinogenic, and organ-specific toxicity.
“EPA test” is a broad term that can refer to different testing procedures associated with the U.S. Environmental Protection Agency. The specific test depends on the substance, endpoint, organism, and regulatory purpose.