Digital Transformation in Toxicology: Improving Communication and Efficiency in Risk Assessment

Area of Science:

• Toxicology
• Digital Health
• Computational Science

Background:

• Toxicology is increasingly leveraging digital tools for enhanced data management and analysis.
• Emerging technologies offer novel approaches to chemical hazard prediction and risk assessment.
• Digitalization promises to improve transparency and efficiency in toxicological studies.

Purpose of the Study:

• To review the impact of digital technologies on toxicology.
• To explore the potential of digitalization in improving risk assessment and public health.
• To highlight emerging trends and future research directions in digital toxicology.

Main Methods:

• Review of current literature on digital technologies in toxicology.
• Analysis of applications including AI, machine learning, blockchain, and wearable sensors.
• Examination of case studies in areas like smoking toxicology and food safety.

Main Results:

• Digital tools significantly enhance record-keeping, data analysis, and risk assessment accuracy.
• Computational toxicology and digital risk assessment reduce the need for extensive laboratory studies.
• Blockchain offers improved transparency in genomic data management for food safety.

Conclusions:

• Digital technologies are revolutionizing toxicology, leading to more accurate hazard predictions and risk assessments.
• The integration of these technologies holds significant potential for advancing public health and food safety.
• Continued research into emerging digital tools is crucial for future advancements in toxicology.