DREAM Tech announces three-day workshop starting May 30, 2022

This workshop will provide participants with knowledge and hands-on experience of benchmark dose modeling for chemical risk assessment using the Bayesian Benchmark Dose (BBMD) modeling system. The workshop will cover a number of topics, including probabilistic dose-response modeling in a Bayesian framework, BMD analysis for dichotomous, continuous, categorical data, and genomic data BMD analysis. Additionally,Continue reading “DREAM Tech announces three-day workshop starting May 30, 2022”

Beyond the RfD: Broad Application of a Probabilistic Approach to Improve Chemical Dose-Response Assessments for Noncancer Effects

Abstract Background: The National Academies recommended risk assessments redefine the traditional noncancer Reference Dose (RfD) as a probabilistically derived risk-specific dose, a framework for which was recently developed by the World Health Organization (WHO). READ FULL PUBLICATION

DREAM Tech to attend 2022 ToxExpo

DREAM Tech will be at the 2022 Society of Toxicology Annual Meeting and ToxExpo to be held in San Diego, California, at the San Diego Convention Center from March 27-31, 2022. Come visit us in at the exposition center at Booth #826 to meet the DREAM Tech team and learn more about how our BBMD™ platform canContinue reading “DREAM Tech to attend 2022 ToxExpo”

A computational system for Bayesian benchmark dose estimation of genomic data in BBMD

In collaboration with researchers at Indiana University, Bloomington, DREAM Tech is pleased to announce that our peer-reviewed publication entitled “A computational system for Bayesian benchmark dose estimation of genomic data in BBMD” was published in the journal Environment International. This publication validates the utility of our  BMD Analysis for Genomic Data module for the analysisContinue reading “A computational system for Bayesian benchmark dose estimation of genomic data in BBMD”