An aging population with an extended lifespan is demanding more and more biomedical prosthetic devices, such as knee and hip replacements, to sustain an active lifestyle. Biocompatible Ti alloys are considered to be one of the best options for such implants. The ability to tailor the composition and microstructure to design alloys to meet specific property requirements is the goal of the Materials Genome Initiative (MGI) in general and the purpose of this study in particular. The approach developed here will significantly speed up data generation for rapid establishment of digital materials property databases for accelerated design of new materials. The timely design of high-performance materials is critical to the global competitiveness of US manufacturing. All digital data generated from this study will be published and archived in the MGI informatics infrastructure. This project will educate next-generation materials engineers who will master both advanced computational and experimental approaches to better serve the society. The research and education of this study will also help usher in a new paradigm of materials innovation where materials design is conducted by up-front simulations followed by key validation experiments in contrast to the current approach that is based on experimental iterations followed by mechanistic characterization.