Human Physiology Multiscale Reasoning Services

A government authority in Arlington, Virginia is seeking information from vendors capable of providing human physiology multiscale reasoning services. The request focuses on emerging capabilities that combine artificial intelligence, foundation models, computational physiology, multimodal sensing, imaging, and digital twins to better model human health and disease across multiple biological and clinical scales.

Relevant capabilities include integration of heterogeneous data spanning molecular, cellular, physiological, imaging, and clinical domains; prediction of physiological trajectories under injury, disease, stress, and intervention; and translation of observations at one biological scale into predictions and interventions at another. The government is also interested in approaches that can operate effectively in sparse-data and denied, degraded, or disrupted environments.

Specific areas of interest include identification and use of datasets that support multiscale reasoning across human physiology; hybrid mechanistic-AI systems; models that integrate omics, imaging, waveforms, laboratory data, and clinical records; and foundation models that support mechanistic discovery or intervention prediction. Additional interest areas include multimodal physiological monitoring datasets, genomic and spatial biology datasets, physiological forecasting, human-machine teaming for medical decision-making, and military or operational medicine applications leveraging multiscale modeling solutions.