A simplified blood-based marker approach may help clinicians predict survival in colorectal cancer patients whose disease spreads to the lungs. The study describes a “simple blood formula” aimed at stratifying outcomes after pulmonary metastases are detected, where prognosis can vary widely among similarly treated patients. In parallel, an AI model was reported to predict long-term vision outcomes after surgery for advanced diabetic eye disease. The work centers on helping forecast visual trajectory earlier in the care pathway, where decision-making often relies on limited prognostic tools. Both developments reflect an emphasis on prediction and risk stratification—moving beyond diagnosis alone to support treatment planning, counseling, and follow-up intensity.