Oncologist Mohamed Shanshal, MD, said robotic bronchoscopy significantly improves getting patients the appropriate treatment as soon as possible, reducing their anxiety and improving care.

These findings shed light on disruptions in normal blood cell development (hematopoiesis) that may be shared by sickle cell disease and clonal hematopoiesis.

Risk prediction software using artificial intelligence can help determine whether pulmonary nodules detected during lung cancer screening need to be biopsied.

New study suggests that treating patients for CHIP (clonal growth of precancerous blood cells) could reduce their risk of potentially life-threatening heart inflammation.

Vanderbilt-Ingram Cancer Center and the Vanderbilt Lung Institute will host “The Future of Lung Cancer Care,” a one-day educational event scheduled for May 8 from 8:30 a.m. to 2:30 p.m. at the Nashville Marriott at Vanderbilt University.

A multi-institutional study led by Vanderbilt Health investigators provides a spatial understanding of thyroid cancer evolution and identifies cell types that may predict aggressive disease in both children and adults.

The collaboration will integrate Vanderbilt Health’s Molecular AI Initiative capabilities with Bertis’ deep proteomics and AI-enabled technologies to identify novel therapeutic targets and predictive biomarkers.