The Omics-Driven Machine Learning Path to Cost-Effective Precision Medicine in Chronic Kidney Disease.

Chronic kidney disease (CKD) poses a significant and growing global health challenge, making early detection and slowing disease progression essential for improving patient outcomes. Traditional diagnostic methods such as glomerular filtration rate and proteinuria are insufficient to capture the complexity of CKD. In contrast, omics technologies have shed light on the molecular mechanisms of CKD, helping to identify biomarkers for disease assessment and management.

Oral Kaposi sarcoma in Brazil: a case series of 40 patients highlighting a significant health burden.

Objective: The aim of this study was to provide a comprehensive clinicopathological analysis of oral Kaposi sarcoma (KS) cases and examine its relationship with HIV-related immunosuppression.

Study Design: Paraffin-embedded tissue blocks of patients microscopically diagnosed with oral KS were retrieved from three oral and maxillofacial pathology files. Data including clinical, laboratory, microscopic and immunohistochemical findings and treatment employed were retrieved.

Comparative analysis of clinicopathological characteristics in young and elderly patients with oral squamous cell carcinoma: a retrospective study in Northeastern Brazil.

The aim of this study was to perform a clinicopathological analysis of oral squamous cell carcinoma (OSCC) in young patients from the northeast of Brazil and compare with elderly individuals. This retrospective study reviewed 104 OSCC cases from 2000 to 2015, focusing on patients under 40 and over 60 at diagnosis. Forty-two patients under 40 years old (40.