How does the application of machine learning in bioinformatics contribute to advancements in personalized medicine? Specifically, I$\text{'}$m interested in understanding the algorithms and models most commonly used in the analysis of genomic data to predict individual responses to various treatments. Could you also provide examples of recent breakthroughs in this area?