Advancing Precision Medicine in Hepatocellular Carcinoma: Machine Learning Radiomic Models Surpass Clinical Biomarkers in Predicting Immunotherapy Outcomes

Advancing Precision Medicine in Hepatocellular Carcinoma: Machine Learning Radiomic Models Surpass Clinical Biomarkers in Predicting Immunotherapy Outcomes

Integrated radiomic-clinical machine learning models outperform traditional clinical biomarkers in predicting survival and treatment response in unresectable hepatocellular carcinoma patients undergoing atezolizumab plus bevacizumab therapy.
Deep Learning Prediction of Retinal Nerve Fiber Layer Thickness as a Novel Risk Biomarker for Glaucoma in Ocular Hypertension

Deep Learning Prediction of Retinal Nerve Fiber Layer Thickness as a Novel Risk Biomarker for Glaucoma in Ocular Hypertension

A novel deep learning model predicted retinal nerve fiber layer thickness from optic disc photos, enabling risk stratification for primary open-angle glaucoma in ocular hypertension patients, with baseline and longitudinal changes strongly correlated with disease conversion.