Environmental & Analytical Toxicology

Advancements in Statistical Modeling and Toxicological Predictions for Public Health Protection

Abstract

Hernandez Lopez*

In recent years, advancements in statistical modeling and toxicological predictions have significantly enhanced our ability to assess environmental risks and protect public health. Traditionally, toxicology relied on direct experiments and animal models to determine the effects of chemical exposures on human health, but these approaches have limitations, including ethical concerns, time, and cost. With the advent of more sophisticated computational techniques and the availability of large datasets, statistical models are now being increasingly applied to predict toxicological outcomes more efficiently and with higher accuracy

Received: 02 September, 2024, Manuscript No. ; Editor Assigned: 04 September, 2024, PreQC No. ; Reviewed:  16 September, 2024, QC No. ; Revised: 23 September, 2024, Manuscript No. ; Published: 30 September, 2024, DOI: 10.37421/2161-0525.2024.14.798.