AI can significantly enhance laboratory experiments and research workflows in several ways:
Data Analysis and Interpretation:
Automated Data Processing: AI can handle large volumes of data quickly and accurately, from preprocessing to analysis. This includes statistical analysis, pattern recognition, and trend analysis.
Predictive Analytics: Machine learning models can predict outcomes based on historical data, helping researchers make informed decisions about experimental designs and possible results.