Integrating diverse data types can lead to more accurate diagnoses, better prediction of treatment outcomes, and the development of personalized treatment plans. For instance, combining genomic data with clinical data can help identify biomarkers that predict a patient's response to specific therapies, leading to more effective and less toxic treatments.
