AI is revolutionizing traditional bioanalytical techniques by introducing automation, precision, and high-throughput capabilities. For example, AI-driven image analysis can automatically identify and quantify biomarkers in microscopy images, reducing human error and increasing efficiency. Additionally, AI models can predict the outcomes of complex biochemical reactions, facilitating the design of experiments and the development of new assays.
