← Biomedical Technology Optimization and Dissemination Center (BTOD) (RM1 - Clinical Trial Not Allowed) MODERATE General
Programme Research
Biomedical Technology Optimization and Dissemination Center (BTOD) (RM1 - Clinical Trial Not Allowed) · National Institutes of Health
Programme Site
MEDIUM confidence Researched 2026-07-22 22:39 · profile: researcher
The Biomedical Technology Optimization and Dissemination Center (BTOD) program funds the development and dissemination of biomedical technologies that optimize existing clinical or research tools, but explicitly prohibits clinical trials. It exists to accelerate the translation of novel technologies into widespread use by supporting optimization, validation, and dissemination activities that improve healthcare delivery or biomedical research efficiency.
• Overall Impact (score 1-9): Potential to significantly improve biomedical technology optimization and dissemination. • Significance: Does the project address a critical need in technology optimization or dissemination? Will results be broadly adopted? • Investigator(s): Are the PI and team qualified? For independent researchers, lack of institutional affiliation is a major barrier. • Innovation: Does the project propose novel optimization strategies or dissemination approaches? • Approach: Are the methods, milestones, and dissemination plan feasible and rigorous? • Environment: Does the applicant have access to necessary resources? Independent researchers without a host institution are at a severe disadvantage. • Eligibility: Must be a U.S. institution or foreign institution eligible for NIH funding. Independent researchers without institutional ties are ineligible as direct applicants.
No specific past winners listed on the page. Typical BTOD awardees are U.S.-based academic medical centers, research universities, or non-profit research institutes with established technology transfer offices. Archetypes include teams of biomedical engineers, clinical researchers, and dissemination specialists who have a prototype technology ready for optimization and a clear plan for widespread adoption.
A mid-career faculty member at a U.S. research university with a strong track record in biomedical device or software optimization, a working prototype, and partnerships with clinical or industry stakeholders for dissemination. The applicant must have institutional support, a dedicated lab, and a history of NIH funding.
Eniola is ineligible as a direct applicant due to lack of U.S. institutional affiliation. The strongest angle is to seek a U.S.-based collaborator (e.g., at University of Michigan, Harvard, or NYU) who can serve as PI, with Eniola as a key personnel or consultant. The CCT model and IMPRINT platform could be framed as a novel computational technology for addiction liability screening that requires optimization and dissemination to U.S. clinical research sites. Eniola's expertise in computational pharmacology and Bayesian modeling would be positioned as a unique asset to the U.S. team.
Ineligible as a direct applicant: must be a U.S. institution or foreign institution eligible for NIH funding. Independent researcher status without a host institution is a disqualifying barrier. No clinical trials allowed, but Eniola's work is preclinical/computational so that is not an issue. The deadline is far in the future (2029), so the opportunity may change or be reissued.