Precision Toxicology
Precision Toxicology - Related Videos
11:38
High Content Screening Analysis to Evaluate the Toxicological Effects of Harmful and Potentially Harmful Constituents (HPHC)
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Cited by 23 •
2016
The objective of the study was to assess the biological impact of 15 cigarette smoke constituents using a combination of an impedance-based real time cell analyzer and a high-content screening (HCS)-based platform for toxicological assessment in vitro. This study provides information on effective doses, toxicity and modes of action of the tested compounds.
03:37
Uncertainty in Measurement: Accuracy and Precision
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2020
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Suppose a quality control...
07:05
The Precision of Visual Working Memory with Delayed Estimation
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Human memory is limited. Throughout most of its history, experimental psychology has focused on investigating the discrete, quantitative limits of memory—how many individual pieces of information a person can remember. Recently, experimental psychologists have also become interested in more qualitative limits—how precisely is information stored? The concept of memory precision can be both intuitive and elusive at once. It is...
01:52
Accuracy and Precision
0 Views •
2025
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Highly accurate measurements...
01:52
Accuracy and Precision
0 Views •
2023
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Highly accurate measurements...
FAQs
Molecular biomarkers provide measurable signals of biological change that can be linked to chemical exposure and injury-related pathways. Instead of treating toxicity as a single outcome, investigators can use these signals to examine how a biological system responds and whether particular mechanisms may explain differences in susceptibility or damage.
Individuals may differ in the biological features that influence how they respond to a chemical. Incorporating genetic and other biological data helps identify response patterns that population averages can obscure. This information supports more specific toxicity predictions and can help distinguish generally affected groups from potentially susceptible populations.
The approach combines information about the chemical or dose with exposure measurements, biological responses, and molecular evidence. Computational analysis can then help connect these data to pathways associated with injury in a particular biological system. This mechanistic connection makes toxicity predictions more informative than relying on outcome averages alone.
Exposure measurements add context to observed biological responses by showing the chemical conditions associated with those responses. When considered alongside toxicological testing and molecular or genetic information, they help relate a dose or exposure pattern to a specific biological effect. This improves interpretation of how toxicity may vary across situations and individuals.
A study can integrate toxicological testing with measurements of exposure, molecular biomarkers, genetic information, and other biological data. Computational analysis is then used to examine relationships among the chemical, dose, biological response, and injury-related pathways. This workflow produces a more individualized and mechanistically grounded basis for interpreting toxicity.
It is useful when decision-makers need toxicity estimates that account for variation among individuals, exposures, and biological responses. By identifying mechanistic links and potentially susceptible populations, the framework can provide more specific evidence for risk assessment than population-level averages alone. Its results may also support prevention and regulatory decisions.
During development, integrated toxicity data can reveal how a drug or chemical affects biological pathways and whether responses differ among biological systems or individuals. These findings can guide more specific toxicity predictions before broader decisions are made. The same evidence may support safer development strategies, prevention efforts, and regulatory evaluation.