Research & Scholarly Foundations

All intellectual property associated with the system architectures described on this site is owned exclusively by Grasso & Co., LLC.

The underlying system architectures represented in the filed provisional patents were independently conceived, architected, and documented by the inventor prior to and outside of any collaborative authorship contexts, and were subsequently assigned to Grasso & Co., LLC.

No publication referenced on this page constitutes inventorship, disclosure, or contribution to the conception or reduction to practice of any claimed system architecture.

Peer-Engaged Inquiry Underlying Filed System Architectures

The Studio engages with a broad body of interdisciplinary scholarship across medicine, engineering, artificial intelligence, ethics, and the humanities. The scholarly works referenced here provide general domain context and independent academic discourse relevant to the problem spaces in which the Studio operates.

The system architectures represented in it’s filed provisional patents were independently conceived, architected, and documented outside of collaborative authorship contexts. No publication referenced on this page constitutes inventorship, disclosure, or contribution to the conception or reduction to practice of any claimed system architecture.

Scholarly publications and filed patents operate as separate, non-overlapping artifacts within the broader intellectual landscape. Publications serve to situate problem domains and ethical considerations, while intellectual property protection governs the ownership and evaluation of specific system architectures developed and assessed within the Studio under separate governance.

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DLEV Studio is an internal, non-commercial execution and evaluation initiative of Grasso & Co., LLC.
This site is informational only and does not constitute an offer, solicitation, or agreement.

Scholarly Engagement Overview

The Studio’s system architectures are developed in problem domains that have been the subject of sustained scholarly inquiry and interdisciplinary collaboration. This research activity spans clinical medicine, engineering, artificial intelligence, ethics, and the humanities, and reflects long-term engagement with the structural, ethical, and operational constraints that shape complex systems.

Scholarly work referenced here provides domain context and independent academic discourse relevant to the environments in which it’s architectures are evaluated. This work exists alongside — but does not constitute — the conception, documentation, or reduction to practice of any filed system architecture.

Clinical Surgery & Procedural Systems

Scholarly work in this domain examines execution failure, ethical responsibility, and coordination challenges in complex surgical and interventional environments. Research addresses how human judgment, institutional constraints, and technological mediation interact under time pressure and uncertainty.

Multiple peer-engaged publications and chapters in this area are complete or in advanced stages of preparation, reflecting ongoing collaboration across clinical and academic settings.

Robotics & Human–Machine Systems

Research in robotics and human–machine interaction explores system-level coherence, safety constraints, interpretability, and control in semi-autonomous and assistive environments. Scholarly inquiry focuses on architectural alignment between sensing, decision-making, and action rather than device-specific performance.

This domain includes both completed scholarly work and manuscripts currently under development, addressing structural challenges relevant to robotic and hybrid human–machine systems.

Artificial Intelligence, Decision Contexts & Communication

Scholarly inquiry in artificial intelligence addresses reasoning under uncertainty, communication fidelity, and ethical boundaries in high-stakes institutional settings. Work in this area spans technical, clinical, and philosophical perspectives, emphasizing how intelligence is mediated, interpreted, and governed rather than optimized in isolation.

Several manuscripts and book chapters in this domain are in active preparation, extending prior work on AI-mediated decision contexts and human dignity.

Multi-Omic & Data-Integrated Systems

Academic work in this domain examines the integration of heterogeneous biological and contextual data sources for risk modeling, stratification, and longitudinal inference. Research focuses on system-level challenges associated with uncertainty, interpretability, and coordination across data modalities.

Ongoing scholarly efforts continue to refine these perspectives, with multiple works in progress addressing methodological and ethical considerations in data-integrated systems.

Ethics, Dignity, and Governance

Scholarly publications and interpretive works in ethics and governance examine human dignity, moral agency, and institutional responsibility in technologically mediated environments. This work provides philosophical grounding for understanding failure, absence, and constraint in complex systems.

Additional manuscripts and book chapters in this area are currently in preparation, reflecting sustained engagement with ethical questions at the intersection of artificial intelligence, medicine, and society.

Works in Progress

Across the domains described above, multiple additional manuscripts and book chapters are in active development. Details are intentionally limited prior to publication and remain independent of any filed intellectual property or system architecture evaluated within the Studio.