Machine Learning-Driven Identification of Hematological and Immunological Biomarkers for Predicting Proliferative Diabetic Retinopathy Progression

Despite the limitations of being a cross-sectional study with a relatively small sample size, the results highlight the clinical significance of these biomarkers and underscore the need for further validation in larger, more diverse populations. This study contributes to the development of targeted interventions and improved management strategies for diabetic retinopathy, emphasizing the importance of immunological health in disease progression.