Yes, automated processing plays a crucial role in cancer research by enabling the analysis of vast amounts of biological data. Techniques such as genomic sequencing, proteomics, and metabolomics generate large datasets that can be challenging to interpret manually. AI and machine learning algorithms can identify patterns, correlations, and potential therapeutic targets, accelerating the discovery of new treatments and improving our understanding of cancer biology.
