Data integration in toxicology is achieved through a variety of approaches, such as:
Data Harmonization: Standardizing datasets to ensure consistency and compatibility. Data Mining: Extracting relevant information from large datasets using specialized software. Statistical Analysis: Applying statistical methods to analyze and interpret integrated data. Machine Learning: Utilizing machine learning algorithms to identify patterns and make predictions based on integrated data.
