Computational Toxicology
Computational toxicology is the application of high-powered calculating to manage and detect patterns and interactions in large biological and chemical data sets. Computational Toxicology is a vibrant and rapidly developing discipline that integrates information and data from a variety of sources to develop mathematical and computer-based models to better understand and predict adverse health effects caused by chemicals, such as environmental pollutants and pharmaceuticals.
Related Conference of Computational Toxicology
April 22-23, 2020 | Florence, Italy
Global Toxicology 2020
Computational Toxicology Conference Speakers
Recommended Sessions
- Pharmacology
- Reproductive and Developmental Toxicology
- Biomarkers
- Clinical and Applied Toxicology
- Computational Toxicology
- Drug Toxicology
- Environmental Toxicology
- Experimental and Toxicologic Pathology
- Food and Chemical Toxicology
- Forensic Toxicology
- Human Health Toxicology
- Molecular and Cellular Toxicology
- Occupational and Industrial Toxicology
- Risk Assessments
- Toxicity Testing Market & Business Opportunities
- Toxicogenomics
- Toxicological Pharmacovigilance
- Toxicology
- Toxicology Global Market
Related Journals
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