Intellectual Property

Patent Portfolio

13 U.S. Provisional Patent Applications Filed — Patent Pending

Provisional Applications

Filed Patents

U.S. Prov. App. No. 64/100,396

Provisional — Active

Filed

June 27, 2026

Core Simulation Architecture & Clinical Applications

Core Diagnostic Biophysical Model

Covers core simulation architecture, irreversibility prediction algorithms, and sRAGE-based biomarker strategies.

Key Coverage Areas

01Spatial agent-based model of hepatic fibrosis progression incorporating AGE-RAGE-sRAGE signaling
02Computational detection of irreversibility thresholds as emergent simulation properties
03sRAGE trajectory analysis as a biomarker for fibrosis reversibility classification
04Stage-specific treatment window identification and therapeutic guidance systems
05Digital-twin-style patient simulation for personalized intervention planning

U.S. Prov. App. No. 64/101,014

Provisional — Active

Filed

June 29, 2026

Foundational Numerical Methods

Variational Lagrangian Discretization Method

Covers numerical methods enabling resolution-invariant tissue simulation across multi-scale grids.

Key Coverage Areas

01Variational Lagrangian discretization framework for biological tissue simulation
02Resolution-invariant simulation preserving emergent biological properties across scales
03GPU-accelerated voxel-based tissue modeling with 384³ spatial resolution
04Multi-subsystem coupling methodology for 14+ concurrent biological processes
05Generalized framework extensible to non-hepatic tissue types and disease states

U.S. Prov. App. No. 64/109,676

Provisional — Active

Filed

July 11, 2026

Symplectic Numerical Integration

Symplectic Integrators for Hybrid Agent-Based Systems

Covers symplectic integration methods applied to biological tissue simulation, preserving Hamiltonian structure and long-term energy stability in multi-cellular agent-based models.

Key Coverage Areas

01Symplectic integrators for agent-based biological tissue simulation
02Hamiltonian-preserving discretization of multi-cellular dynamics
03Long-term numerical stability in hepatic fibrosis progression models

U.S. Prov. App. No. 64/109,679

Provisional — Active

Filed

July 11, 2026

Neural Operator Acceleration

Physics-Informed Neural Operators for Simulation Acceleration

Covers the application of neural operator architectures to accelerate solution of partial differential equations governing substrate transport and signaling in biological tissue digital twins.

Key Coverage Areas

01Neural operator surrogates for PDE-governed substrate transport in tissue simulation
02Operator learning methods for accelerating AGE-RAGE signaling computations
03Hybrid neural-mechanistic simulation architectures for hepatic digital twins

U.S. Prov. App. No. 64/109,692

Provisional — Active

Filed

July 11, 2026

Boundary Stability & Limiters

Non-linear Boundary Flux Limiters in Continuum Tissue Fluid Coupling

Covers boundary limiter techniques that enforce physical constraints at tissue boundaries in agent-based simulations, preventing non-physical solutions and ensuring numerical stability at lobule interfaces.

Key Coverage Areas

01Boundary limiter methods for agent-based hepatic lobule simulations
02Physical constraint enforcement at sinusoidal and portal boundary interfaces
03Stability-preserving flux limiters for multi-subsystem tissue models

U.S. Prov. App. No. 64/109,727

Provisional — Active

Filed

July 11, 2026

AGE-RAGE Feedback Loop Architecture

RAGE-sRAGE Stoichiometric Perpetuation Loop Model

Covers the computational architecture of the closed AGE-RAGE positive feedback loop — including receptor binding kinetics, NF-κB pathway activation, and HSC state transitions — as implemented in the hepatic fibrosis digital twin.

Key Coverage Areas

01Computational model of the closed AGE-RAGE-sRAGE positive feedback loop
02RAGE receptor binding kinetics and NF-κB pathway activation in agent-based simulation
03HSC activation state transitions driven by RAGE signaling in fibrosis progression models

U.S. Prov. App. No. 64/109,732

Provisional — Active

Filed

July 11, 2026

Cellular State Machine Architecture

Stoichiometric Biological State Machinery for Parenchymal Remodeling

Covers the state machine architecture governing multi-phenotype cellular agents — including hepatocytes, hepatic stellate cells, Kupffer cells, and NK cells — and their state transition logic within the hepatic fibrosis simulation framework.

Key Coverage Areas

01State machine architecture for multi-phenotype cellular agents in tissue simulation
02HSC quiescent-to-activated-to-apoptotic state transition logic
03Coupled state machinery for hepatocyte, Kupffer cell, and NK cell populations

U.S. Prov. App. No. 64/109,734

Provisional — Active

Filed

July 11, 2026

Percolation Theory & Irreversibility

Collagen Percolation Staging and Irreversibility Boundaries

Covers the application of percolation theory to define and detect the structural irreversibility threshold in hepatic fibrosis — where collagen fiber networks transition from isolated degradable fibers to a connected, mechanically stable, MMP-resistant scaffold.

Key Coverage Areas

01Percolation-based detection of the reversible-to-irreversible collagen network transition
02Computational identification of the percolation threshold as a fibrosis irreversibility marker
03Methods for predicting MMP-resistance onset from collagen network connectivity analysis

U.S. Prov. App. No. 64/109,854

Provisional — Active

Filed

July 12, 2026

Multi-Scale Simulation Coupling

Multi-Scale Variational Discretization of Coupled Agent-Field Systems

Covers methods for coupling molecular-scale signaling dynamics, cellular-scale agent behavior, and tissue-scale structural mechanics within a unified multi-scale hepatic digital twin framework.

Key Coverage Areas

01Multi-scale coupling of molecular, cellular, and tissue-level dynamics in hepatic simulation
02Scale-bridging methods for AGE-RAGE signaling and tissue-level fibrosis mechanics
03Unified simulation framework spanning subcellular to lobule-scale biological processes

U.S. Prov. App. No. 64/109,858

Provisional — Active

Filed

July 12, 2026

Deformable Lattice Boundary Tracking

Variational Boundary Tracking in Deformable Biological Lattices

Covers variational methods for tracking and enforcing boundary conditions in deformable biological lattice structures, enabling accurate simulation of tissue remodeling and morphological change during fibrosis progression.

Key Coverage Areas

01Variational boundary tracking methods for deformable biological lattice simulation
02Boundary condition enforcement in dynamically remodeling hepatic tissue structures
03Lattice deformation coupling to fibrosis-driven morphological change

U.S. Prov. App. No. 64/109,860

Provisional — Active

Filed

July 12, 2026

Active Non-Equilibrium Matter Physics

Variational Modeling of Active Non-Equilibrium Dissipative Matter

Covers variational formulations for modeling active, non-equilibrium, dissipative matter — capturing self-propulsion, energy dissipation, and collective behavior of motile cell populations in fibrosis-driven tissue remodeling.

Key Coverage Areas

01Variational framework for active non-equilibrium dissipative matter in tissue simulation
02Non-equilibrium dynamics modeling of HSC migration and contractile behavior
03Collective active matter behavior in fibrosis-driven tissue remodeling simulations

U.S. Prov. App. No. 64/109,865

Provisional — Active

Filed

July 12, 2026

Automatic Differentiation & Variational Compilation

Automatic Differentiation and Compilation of Variational Biophysical Manifolds

Covers automatic differentiation and compilation techniques applied to variational biophysical manifolds — enabling gradient-based calibration and symbolic compilation of simulation parameters against clinical endpoint data.

Key Coverage Areas

01Automatic differentiation for gradient-based parameter optimization in tissue simulation
02Differentiable simulation architecture for calibration against clinical endpoint data
03AutoDiff-enabled sensitivity analysis of fibrosis progression model parameters

U.S. Prov. App. — Provisional Filed

Provisional — Active

Filed

July 22, 2026

Adaptive Capacity Control Architecture

Etiology- and Local-State-Adaptive Capacity Control

Covers etiology-adaptive capacity gating (L7) and per-voxel survival compensation (L8).

Key Coverage Areas

01Etiology-adaptive capacity control for multi-subsystem biological tissue simulation
02Local-state-dependent modulation of simulation subsystem throughput
03Context-sensitive fidelity scaling based on disease stage and cellular microenvironment

IP Strategy

What We Protect

Our patent strategy covers both the clinical application layer — how the simulation predicts irreversibility and guides treatment — and the foundational computational layer that makes high-fidelity tissue simulation tractable. Together, these patents protect the full stack from numerical methods to clinical decision support.

Simulation Architecture

The spatial, GPU-accelerated 3D agent-based model structure and its 14-subsystem coupling methodology.

Irreversibility Prediction

Algorithms for detecting stage-dependent irreversibility thresholds as emergent properties — without explicit stage-gating rules.

sRAGE Biomarker Strategy

Methods for using sRAGE trajectory divergence as a clinically measurable indicator of the reversibility transition point.

Numerical Methods

Variational Lagrangian discretization enabling resolution-invariant simulation — scalable across tissue types and disease states.

Partnership Opportunities

Licensing & Co-Development

We are actively seeking partners for licensing, co-development, and clinical validation. Our technology is ready for integration into pharmaceutical development pipelines, clinical research platforms, and digital health applications.

Pharma

Pharmaceutical Licensing

License the simulation platform to support RAGE/AGE-targeted drug development — identify optimal patient populations, predict responder profiles, and design stage-stratified clinical trials.

Clinical

Clinical Research Co-Development

Partner with clinical researchers to validate sRAGE biomarker predictions against longitudinal patient cohorts — generating the clinical evidence base for regulatory submissions.

Digital Health

Digital Health Integration

Integrate the digital-twin simulation engine into precision medicine platforms, EHR-connected decision support tools, or patient monitoring systems.

Ready to explore a partnership?

All licensing inquiries are handled directly by Wayne Eskridge, Founder.

Inquire About Licensing
Decision Sciences

Computational biology at the frontier of hepatic fibrosis prediction. Mechanistic. Spatial. Clinically actionable.

Contact

Wayne Eskridge[email protected]Boise, IdahoDecision Sciences, LLC

© 2026 Decision Sciences, LLC. All rights reserved. HFKI 2.0™ and the Liver Sinusoid Digital Twin are trademarks of Decision Sciences, LLC. Patents Pending. Research publications are open access under CC-BY 4.0. Underlying software algorithms and source code are proprietary trade secrets of Decision Sciences, LLC.