Researchers at VCU Massey Comprehensive Cancer Center have developed a new computational tool called Vesalius, which could help clinicians understand the complex relationships between cancer cells and their surrounding cells, leading to potential discoveries regarding the development of hard-to-treat cancers. Findings from a new study—published Aug. 21 in Nature Communications—could help guide the identification of predictive biomarkers for multiple cancers and better inform the effectiveness of different treatment options based on individuals’ specific type of disease.

New study offers a powerful AI-assisted method for uncovering exactly how tuberculosis drugs kill the bacteria, opening the door to smarter treatment combinations that could work faster. 

In the U.S., one in five of the 37 million adults who has diabetes doesn’t know it. Current methods of diagnosing diabetes and prediabetes usually require a visit to a doctor’s office or lab work, both of which can be expensive and time-consuming. Now, diagnosing diabetes and prediabetes may be as simple as breathing.  

For the first time, a research team at the University of Minnesota Twin Cities demonstrated a groundbreaking process that combines 3D printing, stem cell biology, and lab-grown tissues for spinal cord injury recovery.