What Role Does Unsupervised Learning Play in Personalized Medicine?
Unsupervised learning is pivotal in advancing personalized medicine for cancer patients. By analyzing patient data, including genomics, proteomics, and clinical outcomes, unsupervised learning can identify distinct patient subgroups that may benefit from different treatment strategies. This leads to more targeted and effective therapies, reducing the trial-and-error approach often associated with cancer treatment.
