AIMC Topic: No-Observed-Adverse-Effect Level

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Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment.

Journal of hazardous materials Jan 10, 2025
Point of departure (POD) is a concept used in risk assessment to calculate the reference dose of exposure that is likely to have no appreciable risk on health. POD can be directly utilized from no observed adverse effect levels (NOAEL) which is the d...
Humans Machine Learning Animals Risk Assessment No-Observed-Adverse-Effect Level Toxicity Tests Hazardous Substances
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A broader view on deriving a reference dose for THC traces in foods.

Critical reviews in toxicology Feb 17, 2022
An Acute Reference Dose (ARfD) of 1 µg of -9-tetrahydrocannabinol (THC) per kilogram (kg) of body weight (bw) per day was recommended by the European Food Safety Authority (EFSA) for its assessment of possible acute health risks from the intake of in...
Humans Adult Administration, Oral Cannabis Dronabinol No-Observed-Adverse-Effect Level Psychomotor Performance
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Joint Toxicity of Lead, Chromium, Cobalt and Nickel to Photobacterium phosphoreum at No Observed Effect Concentration.

Bulletin of environmental contamination and toxicology Jun 2, 2015
Joint toxicity of Pb2+, Cr3+, Co2+ and Ni2+ toward Photobacterium phosphoreum (Ph. phosphoreum) at the no observed effect concentration (NOEC) was determined through a factorial experiment. A neural network model was designed according to experimenta...
Neural Networks, Computer Kinetics No-Observed-Adverse-Effect Level Drug Synergism Quantitative Structure-Activity Relationship Metals, Heavy Photobacterium
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Development of QSAR models using artificial neural network analysis for risk assessment of repeated-dose, reproductive, and developmental toxicities of cosmetic ingredients.

The Journal of toxicological sciences Apr 1, 2015
Use of laboratory animals for systemic toxicity testing is subject to strong ethical and regulatory constraints, but few alternatives are yet available. One possible approach to predict systemic toxicity of chemicals in the absence of experimental da...
Neural Networks, Computer Female Animals Male Risk Assessment Rats Reproduction Cosmetics No-Observed-Adverse-Effect Level Quantitative Structure-Activity Relationship Toxicity Tests
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