Cleveland Foundation

Advances in Interventional Oncology for Hepatocellular Carcinoma

Locoregional therapies are used across the hepatocellular carcinoma (HCC) treatment spectrum, including for curative treatment of small tumors, as bridging or downstaging therapy before liver transplant, for treatment of intermediate-stage disease, and as part of combination trea...

Immunotherapy-Related Cardiac Arrythmias: Incidence, Pathobiology, Risk Factors and Management

Abstract Purpose of Review Immunotherapies have revolutionized treatment strategies for cancer patients, improving the prognosis in many populations with advanced malignancies. Immune check point inhibitors (ICI) and Chimeric antigen receptor (CAR) T cell therapy are being increa...

Feasibility of Prone Positioning in Patients With Obesity and Acute Respiratory Distress Syndrome

Background Prone positioning in patients with obesity remains uncommon because of concerns about feasibility, safety, and efficacy. Objective To evaluate the feasibility, safety, and clinical outcomes of manual prone positioning in patients with acute respiratory distress syndrom...

Real-Time Symptom and Wearable Monitoring May Improve Prediction of Postoperative Recovery in Lumbar Spine Surgery Beyond Standard Measures

BACKGROUND AND OBJECTIVES: Accurately identifying candidates likely to benefit from surgery and addressing modifiable preoperative risk factors are central to optimizing outcomes. Current prediction tools often rely on static clinical data and patient-reported measures, which lac...

The blood system in Ukraine: Experience in martial law conditions

BACKGROUND/CASE STUDIES: Efficient blood and blood components supply is key to the stable operation of a health care system, especially to a civilian population and military under martial law. The blood system is an important component of a state's defense capability and national...

A foundation model for sleep-based risk stratification and clinical outcomes

Abstract Clinical sleep studies capture multiple physiologic signals, yet interpretation is often reduced to single summary measures of limited prognostic value, such as the apnea–hypopnea index. We present a foundation model that learns rich representations of sleep physiology f...