Computational Tool Developed to Predict Immunotherapy Outcomes for Patients with Metastatic Breast Cancer | Naviance

Computational Tool Developed to Predict Immunotherapy Outcomes for Patients with Metastatic Breast Cancer

Using computational tools, researchers from the Johns Hopkins Kimmel Cancer Center and the Johns Hopkins University School of Medicine have developed a method to assess which patients with metastatic triple-negative breast cancer could benefit from immunotherapy.

LEARN MORE

Recent Posts

5 Healthy Habits That Help During Cancer Treatment Understanding Mammogram Results A 19-Year Fight Against Prostate Cancer Brings Man to Johns Hopkins Medicine Scientists Advance Efforts to Create ‘Virtual Cell Lab’ As Testing Ground for Future Research with Live Cells Ultra-Processed Foods: Q&A with 2 Dietitians Radiation Therapy Overcomes Immunotherapy Resistance in Some Cancers ‘Power Surges’ on Cancer Cell Membranes May Fuel Progression of Disease New Cancer Target Discovered How surgeons build a new bladder for cancer patients like Deion Sanders