While modern medical imaging coupled to contemporary image processing and informatics has allowed for dramatic expansions of diagnostic information, similar advances in procedural medicine have lagged due to systematic barriers associated with conventional practice and clinical translational research. The work in this presentation paints a different picture where surgery and intervention advancements no longer represent fragmented injections of technology to advance focal capabilities. Rather, the assertion in this talk is that technology treatment platforms of the future will be intentionally designed for the dual purpose of treatment and discovery. As an exemplar, a platform technology is presented that translates complex biophysical models represented by large systems of equations from predictive roles to ones that are integrated to guide therapeutic applications such as tissue resection and locoregional intervention. The work then goes on to suggest the use of quantitative, biomarker image-data driven forecasting as a means to harness phenotypic presentation of disease for improving therapy application and potentially outcome. Throughout the work, the common thread that ties the approaches together is the concept of biophysical models serving as a constraining scaffold for sparse therapeutic & surgical/interventional data which when of sufficient strength enables a functional purpose greater than the sum of contributing data. This blend of model, therapy mechanism, phenotypic presentation, and therapeutic control as described typifies one realization of these intraprocedural technology platforms designed for treatment and discovery. Finally, the talk will conclude by looking at the impact on the field of biomedical engineering as well as paradigms being investigated to codify training. Speaker(s): Dr. Michael I. Miga, Ph.D. , Agenda: Presentation by Prof. Miga followed by Q&A Virtual: https://events.vtools.ieee.org/m/318468