Personalized medicine in cancer treatment relies heavily on advanced software for genomic analysis and treatment planning. Updates can introduce new machine learning algorithms that predict treatment responses more accurately. This leads to tailored treatment plans that are more effective for individual patients, improving their chances of successful outcomes.