Scientific excellence is a necessary but insufficient condition for success in medical technology innovation. While researchers are rigorously trained to validate hypotheses in the laboratory, the most critical entrepreneurial decisions—those that determine adoption, scalability, and ultimately economic value—are often made without the same level of discipline.

The session introduces a structured framework for improving decision-making under uncertainty in life sciences ventures. It focuses on the systematic identification of the assumptions that truly drive value creation, their prioritization based on impact and uncertainty, and their validation through targeted, field-based experiments. Particular attention will be given to the relationship between evidence generation and the prediction of future cash flows, which ultimately determine the economic viability of an innovation.

By reframing entrepreneurship as a process of progressively reducing critical uncertainty rather than simply advancing technology, the session provides scientists with practical tools to transition from discovery-driven thinking to value-driven decision-making, improving both the quality of strategic choices and the credibility of investment propositions.