Bioengineering Approaches to Energy Balance and Obesity (STTR R41/R42) | Apply Online

Opportunity Summary:

The Bioengineering Approaches to Energy Balance and Obesity opportunity (PA 07-436) is a National Institutes of Health (NIH) funding announcement aimed at pushing forward new bioengineering technologies that can help researchers and clinicians better understand, measure, and ultimately influence the factors that drive energy balance. In practical terms, the program is focused on tools and methods that improve how energy intake and energy expenditure are assessed, monitored, and studied in real-world and clinical settings. The broader motivation is the ongoing public health burden of obesity and related chronic diseases, and the recognition that better instruments, sensors, and measurement platforms can unlock more accurate research findings and more effective interventions over time.

The core purpose of the announcement is technology development and validation. NIH is looking for novel sensors, devices, imaging methods, and other innovative bioengineering approaches that can address clinical problems linked to energy balance, including the biological and behavioral drivers of eating, physical activity, metabolism, and weight regulation. The expectation is that these technologies will not just be conceptual prototypes, but will be built and evaluated in ways that demonstrate they can produce useful, reliable data or capabilities for the obesity and nutrition research community. By increasing the number and quality of research tools available, the program aims to speed up scientific discovery in energy balance and health, and eventually contribute to therapeutic advances or practical behavioral strategies for weight control and obesity prevention and treatment.

A defining feature of this opportunity is its emphasis on collaboration across disciplines. Applicants are expected to bring together engineering and physical science expertise with domain knowledge in obesity, nutrition, and related biomedical fields. The announcement explicitly anticipates that engineers and physical scientists will work alongside investigators who understand the clinical and biological realities of obesity and energy balance, so that proposed technologies are grounded in real needs and can be meaningfully tested in relevant populations or experimental contexts. This interdisciplinary structure is intended to improve the odds that new tools are not only technically impressive, but also usable, interpretable, and impactful for health research.

This funding announcement uses the Small Business Technology Transfer (STTR) mechanisms, specifically R41 (Phase I) and R42 (Phase II), and it also accepts Fast-Track applications that combine Phase I and Phase II considerations into a streamlined path. STTR is designed for small businesses that are formally collaborating with a nonprofit research institution, with the goal of translating early-stage innovation into products or platforms that have a clear line of sight to real-world application. The announcement also notes that it runs in parallel with an identically scoped companion solicitation using the Small Business Innovation Research (SBIR) mechanisms (PA 07-435, R43/R44). The parallel structure signals that NIH is supporting the same scientific goals through two closely related small-business programs, giving applicants the option to pursue the route that best fits their partnership structure and commercialization plan.

On funding levels and award counts, NIH does not set a single fixed budget or number of awards for this opportunity. Instead, it states that award size and duration will vary depending on what is proposed, and that the total funding and number of awards will depend on the mix of mechanisms used, as well as the overall quality, duration, and costs of the submitted applications. In other words, proposals will be judged on merit and feasibility, and the final funding outcome will reflect the strength and scope of the applications NIH receives during the various receipt dates. The announcement also indicates there is no cost-sharing or matching requirement, which reduces barriers for small businesses that might otherwise struggle to commit non-federal funds.

Eligibility is centered on small businesses, with additional categories referenced in the full text, but a key limitation is that foreign institutions are not eligible to apply. The opportunity is categorized as a discretionary grant and is associated with multiple CFDA program areas, reflecting NIH-wide interest in technology that can influence or inform obesity-related research across several disease domains. Listed CFDA numbers include 93.286 (technology innovations to improve human health) as well as cancer-related programs (93.393 and 93.399), cardiovascular disease research (93.837), and aging research (93.866). This spread signals that NIH views improved energy balance technologies as broadly relevant, since obesity and metabolic health affect cancer risk, cardiovascular outcomes, and health during aging.

Administratively, the opportunity was posted on August 20, 2007, and it used multiple receipt dates (rather than a single deadline), with the details provided in the full announcement. The archived date is September 5, 2010, meaning the specific announcement is no longer active as written, though similar topics may reappear in newer NIH funding announcements. For applicants or interested parties who need the original documentation, the full announcement was hosted through the NIH Grants Guide (the link provided in the source text), and NIH’s Office of Extramural Research (OER) webmaster contact was listed for access or technical issues.

Overall, the opportunity is best understood as a translational, tool-building program targeted at small businesses working with research partners to create the next generation of measurement and intervention-enabling technologies for energy balance and obesity. The outcome NIH is trying to encourage is a pipeline of validated, practical tools that make obesity and nutrition research more precise and scalable, thereby supporting long-term progress toward better prevention strategies, better treatments, and more effective behavior change approaches.

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