While patient diagnostic information has expanded dramatically with modern medical imaging, and continues to grow with contemporary informatics research, the advancement of procedural medicine has lagged largely due to the lack of translating biomedical research. The work we are doing paints a very different picture where surgery and intervention advancements no longer represent fragmented injections of technology to advance focal capabilities while neglecting the wider workflow impact. Rather, diagnostic information initiates a process whereby procedure-specific, and patient-specific modular technologies and computational approaches are assembled into novel, perhaps never been realized, systems that optimize therapy delivery. This is a paradigm that challenges convention and shifts patient care to diverse collaborative teams whereby engineers, scientists, statisticians, and informaticists work with physicians selecting the optimal combination of technologies and therapies to treat based on presentation and therapeutic goals. This type of transformative approach requires biomedical research to invest in translational platforms and study designs that enable investigation in arguably the most important of domains, the patient. Projects in the laboratory reflect: (1) enhancing soft-tissue image guided surgery in organs such as the brain, liver, breast, and kidney, (2) model-driven interventional guidance for neoadjuvant chemotherapy, and (3) model-enhanced ablative therapy delivery.