In cancer research, run analysis is crucial for several reasons:
Early Detection: By analyzing patterns in clinical data, researchers can identify potential early signs of cancer, facilitating early intervention. Treatment Efficacy: Run analysis helps in evaluating how well a treatment is working over time by looking at the sequence of patient responses. Patient Monitoring: Continuous monitoring of patients through run analysis can detect relapses or adverse reactions promptly. Clinical Trials: It aids in assessing the effectiveness of new drugs or therapies by analyzing patient outcomes in a sequential manner.
