Filed Systems

Precision Robotic Intervention Systems

This system architecture addresses precision robotic intervention through the integration of multimodal sensing, biologically informed feedback, and governed control logic. It is designed to evaluate how complex robotic actions can be planned, adapted, and constrained in environments where uncertainty, safety, and interpretability are critical. The architecture emphasizes system-level coherence across sensing, decision, and actuation layers rather than device-specific implementation.

Adaptive Cancer Screening Systems

This architecture focuses on population-scale screening systems that integrate multimodal risk modeling, prioritization logic, and communication-aware orchestration. The system is designed to evaluate how screening workflows can adapt under uncertainty while maintaining governance constraints, without constituting diagnostic determination or clinical decision-making. Emphasis is placed on structural scalability, interpretability, and controlled adaptation.

Motion-Informed State Inference Systems

This system addresses the inference of functional or performance-related states from heterogeneous motion-relevant data sources. The architecture evaluates how latent states can be inferred, tracked, and updated across time and context, supporting downstream assessment and coordination without assuming specific sensing modalities or deployment environments. The focus is on structural robustness rather than predictive optimization.

Adaptive Auditory and Spatial Training Systems

This architecture defines training systems for auditory, auditory–motor, and spatial cognitive domains that adapt instruction relative to individualized expectation models. The system evaluates how performance, feedback, and progression can be governed through multimodal interaction without relying on static curricula or fixed benchmarks. Emphasis is placed on adaptability, interpretability, and controlled evaluation.

Adaptive Nutritional Optimization Systems

This system models nutrition as a dynamic latent state rather than a static prescription. The architecture evaluates how nutritional actions can be selected, adjusted, and governed across time using automated, human, or hybrid workflows. The system emphasizes uncertainty handling, longitudinal adaptation, and safety constraints without asserting clinical or therapeutic claims.

Simulation-Based Precision Communication Training Systems

This architecture defines controlled simulation environments for training and evaluating high-stakes communication. The system evaluates clarity, structure, and comprehension within synthetic or simulated scenarios, without engaging real patients or live clinical contexts. Emphasis is placed on repeatability, evaluability, and governance rather than behavioral optimization or outcome claims.

Narratives of Filed Provisional System Architectures

The Studio maintains and evaluates a set of filed provisional system architectures representing distinct applied problem domains. This page presents conceptual, system-level narratives describing the problem context and architectural intent of each filed system, without disclosing implementation details, execution methods, or commercialization pathways.

All intellectual property described on this page is owned by Grasso & Co., LLC and is evaluated within the Studio as an internal, non-commercial execution and assessment initiative.

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