In the realm of cancer research, several skill gaps exist that hinder progress and innovation. One significant gap is the lack of expertise in bioinformatics and data analysis. As cancer studies generate vast amounts of data, researchers need advanced skills to interpret this information effectively. Another gap is in the domain of translational research, which aims to bridge the gap between laboratory findings and clinical applications.
