Scalability of the Mechanobiological Vulnerability Index (MVI) in Triple- Negative Breast Cancer: A Microgravity-Induced Platform for In Silico Target Discovery

This paper proposes the Mechanobiological Vulnerability Index (MVI), a scalable computational platform that leverages simulated microgravity-induced cytoskeletal disorganization and deep learning models to identify novel therapeutic targets for Triple-Negative Breast Cancer by integrating physical and mechanical tumor properties with molecular profiling.

Original authors: João Victor Rocha da Silva