Research & Scholarly Foundations

Intellectual Property and Scholarship Separation

All intellectual property associated with the system architectures described on this site is owned exclusively by Grasso & Co., LLC and is represented by filed U.S. provisional patent applications.

The system architectures reflected in these filings were independently conceived, architected, and documented outside of collaborative authorship contexts and prior to any scholarly publication, and were subsequently assigned to Grasso & Co., LLC.

Scholarly publications referenced on this site provide domain context only and do not constitute inventorship, disclosure, or contribution to the conception or reduction to practice of any claimed system architecture.

Peer-Engaged Inquiry Underlying Filed System Architectures

Relationship Between Scholarship and Intellectual Property

All intellectual property associated with the system architectures described on this site is owned exclusively by Grasso & Co., LLC and is represented by filed U.S. provisional patent applications.

The system architectures reflected in these filings were independently conceived, architected, and documented outside of collaborative authorship contexts and prior to any scholarly publication. Scholarly publications referenced on this page do not constitute inventorship, disclosure, contribution to conception, or reduction to practice of any claimed system architecture.

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

© 2026 Grasso & Co., LLC. All rights reserved.
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 operation within problem domains that have been the subject of sustained scholarly inquiry and interdisciplinary scholarly inquiry across medicine, engineering, artificial intelligence, ethics, and the humanities. Scholarly work referenced here provides domain context and independent academic discourse relevant to the environments in which system architectures are evaluated.

This scholarship exists alongside-but does not constitute-the conception, documentation, execution, or reduction to practice of any filed system architecture.

Clinical Surgery & Procedural Systems

Scholarly work in this domain examines execution failure, ethical responsibility, coordination challenges, and institutional constraint in complex surgical and interventional environments. Research addresses how human judgment, organizational structures, 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 sustained collaboration across clinical and academic settings.

Robotics & Human–Machine Systems

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

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, clinical communication, 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 constraint, failure, and responsibility in complex socio-technical 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, additional manuscripts and book chapters are in active development. Details are intentionally limited prior to publication. These works remain independent of and non-contributory to any filed intellectual property or system architecture evaluated within the Studio.