The Defense Advanced Research Projects Agency (DARPA), through its Biological Technologies Office (BTO), has released RFI DARPA‑SN‑26‑100 on “Multiscale Reasoning for Human Physiology.” The agency is seeking input from organizations that can connect human biology from molecules to clinical outcomes in support of military medicine.
The focus is on prediction, diagnosis, intervention, and recovery in combat casualty care (CCC) and prolonged casualty care (PCC). DARPA wants to understand existing technologies and datasets that integrate omics, imaging, physiological monitoring, and clinical data across molecular, cellular, tissue, organ, whole‑body, and clinical scales.
Who Should Consider Responding
DARPA is inviting responses from:
- AI and foundation model companies in biology and medicine
- Teams building mechanistic models, digital twins, or hybrid mechanistic and AI systems
- Organizations with longitudinal, multimodal human physiology datasets
- Clinical and operational medicine groups with trauma or military experience
If your work links small‑scale mechanisms to larger physiological or clinical outcomes, this is a straightforward way to show DARPA how your capabilities fit future programs.
Key Areas of Interest
DARPA highlights several key areas under this RFI, including:
- Multiscale computational models that connect biological scales and support real‑time or near‑real‑time reasoning
- Multimodal and biological foundation models that integrate diverse data sources
- Longitudinal and multimodal human physiology datasets, including critical care and operational medicine data
- Tools for forecasting physiology, predicting treatment response, and supporting clinical decision making
- Military‑relevant applications such as combat casualty care, CBRNE exposure, shock, traumatic brain injury, infection, and prolonged casualty care
Response Essentials and Timing
Respondents are asked to briefly describe their technologies and datasets, explain how different scales are integrated, and share any validation, performance metrics, and key gaps they see in multiscale reasoning. DARPA encourages concise, focused submissions in PDF format, with proprietary information clearly marked.
Responses are due August 10, 2026, at 5:00 p.m. ET to [email protected].
Why It Matters
Multiscale reasoning is central to turning complex biological and clinical data into reliable tools for military and operational medicine. If this effort moves forward into a full program, it is likely to push beyond “black box” AI by combining mechanistic physiology, digital twins, and machine learning so that predictions are both accurate and biologically grounded. It would also create shared infrastructure – models, datasets, and benchmarks – that multiscale tools for hemorrhage, traumatic brain injury, infection, and recovery can plug into. This RFI gives innovators in AI, digital health, and clinical research a chance to highlight existing capabilities and shape how DARPA invests in future programs.
EverGlade is a national advisory firm helping innovators navigate the federal funding ecosystem. We support companies across the funding lifecycle, from early-stage strategy through proposal development, negotiations, and post-award execution, ensuring you win the award and deliver the program.
For additional information on where your capabilities could plug into this solicitation, schedule a conversation with our team.
