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Related Concept Videos

Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...
Hazard Rate01:11

Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...

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Related Experiment Video

Updated: Jun 30, 2026

Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation
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Expedited Radiation Biodosimetry by Automated Dicentric Chromosome Identification (ADCI) and Dose Estimation

Published on: September 4, 2017

Advancing quantitative hazard banding using expanded probabilistic reference doses and high-throughput screening data

Yu-Syuan Luo1,2, Yu-Jia Yeh1

  • 1Institute of Food Safety and Health, College of Public Health, National Taiwan University, Taipei City, Taiwan.

NAM Journal
|June 29, 2026
PubMed
Summary

This study developed quantitative hazard banding using extensive data, improving chemical risk assessment. Probabilistic reference dose values provided reliable hazard characterization, unlike high-throughput screening data.

Keywords:
Endocrine-active potentialGlobally harmonized system (GHS)High-throughput screening dataProbabilistic reference doseQuantitative hazard bandingReproductive and developmental toxicity

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High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)

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An Automated Microscopic Scoring Method for the γ-H2AX Foci Assay in Human Peripheral Blood Lymphocytes
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An Automated Microscopic Scoring Method for the γ-H2AX Foci Assay in Human Peripheral Blood Lymphocytes

Published on: December 25, 2021

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Last Updated: Jun 30, 2026

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High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
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An Automated Microscopic Scoring Method for the γ-H2AX Foci Assay in Human Peripheral Blood Lymphocytes

Published on: December 25, 2021

Area of Science:

  • Toxicology
  • Environmental Health
  • Computational Chemistry

Background:

  • Data scarcity challenges chemical risk assessment and health-based guidance values.
  • Hazard banding (HB) categorizes chemicals by health hazard severity.
  • Current HB methods often rely on limited datasets.

Purpose of the Study:

  • To develop quantitative hazard bandings using expanded probabilistic reference dose (pRfD) and endocrine-related quantitative high-throughput screening (qHTS) data.
  • To assess the accuracy of quantitative hazard bandings in reflecting chemical hazard nature and severity.
  • To compare the performance of pRfD-based and qHTS-based hazard banding.

Main Methods:

  • Utilized a large dataset of 10,145 pRfD values and 3,520 oral equivalent doses (OEDs) from qHTS.
  • Categorized data into quintiles to create five hazard bands (HBpRfD and HBqHTS_endo).
  • Employed heatmap and correlation analyses to evaluate band relationships with GHS health statements.

Main Results:

  • HBpRfD effectively captured the severity of chemical hazards.
  • HBqHTS_endo demonstrated lower confidence in hazard characterization.
  • Discordance observed between animal toxicity and qHTS data.

Conclusions:

  • Quantitative hazard banding using pRfD values enhances chemical risk assessment.
  • Integrating in vitro and animal data may improve predictive accuracy for toxicity endpoints.
  • Further research is needed to refine qHTS-based hazard banding.