The talk will focus on building predictive multiscale models in biosciences and bioengineering using physics-based approaches and collaboratively validating such models in ex vivo constructs, model organisms, and human trials. Two themes will be discussed: a focus on targeted nanomedicine for immunotherapy applications and a focus on precision oncology. We will highlight our efforts on cancer mechanobiology for immune engineering and precision engineering through nanomedicine and cancer systems biology. We discuss how AI-enabled physics-based multiscale modeling and high-performance computing can help power digital twin simulators for precision medicine. The talk will end with a vision for Inclusive and Just graduate training and education in the era of transformative technologies of gene-editing, synthetic nucleome and organoids, artificial intelligence, super-resolution, and single-cell methods in the face of cell-editing and neural revolutions in novel therapies. These works are funded by the US NIH, NSF, AFOSR, and EU ERC.