Cardiac Cell Oscillator Networks for Real-Time Collective Computing
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Solution Overview
Problem
Current biocomputing designs that leverage biological components, such as DNA or protein circuitries, are inherently slow and primarily suited for archival storage, failing to provide scalable and energy-efficient solutions for real-time data analytics and computationally hard problems.
Innovation Solution
Development of coupled bio-oscillator networks using cardiac muscle cells and cardiac fibroblast cells, which synchronize through unique phase ordering, enabling massively parallel and energy-efficient computation by patterning and coupling these cells on substrates to form re-programmable networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If DNA or protein circuitries are used for biocomputing, then information storage capability is improved, but computation speed deteriorates to hours or days
Solution Approach 1:
The patent replaces biochemical reaction-based computation (DNA/protein circuitries) with a mechanical oscillation-based system using cardiac muscle cells. The cells' natural rhythmic contraction and relaxation provide a mechanical oscillation mechanism that operates at frequencies of 1-10 Hz, enabling real-time computation rather than hour-long biochemical reactions.
Solution Approach 2:
The patent changes the operational parameter from slow biochemical reaction times to fast mechanical oscillation frequencies. By utilizing the inherent oscillatory properties of cardiac muscle cells and coupling them through fibroblast bridges, the system achieves computation speeds compatible with real-time data analytics while maintaining biological sustainability.
2Adaptability or versatility
If traditional Boolean algorithms are used for computation, then computational universality is improved, but energy consumption increases
Solution Approach 1:
The cardiac muscle cells utilize their own inherent oscillatory properties and metabolic energy production to drive computation. The cells self-organize into synchronized networks through natural coupling mechanisms via fibroblast bridges, eliminating the need for external energy-intensive control systems required by traditional Boolean computers.
Solution Approach 2:
The patent demonstrates that coupled cardiac cell networks can solve multiple types of computational problems including graph coloring, optimization tasks, and synchronization problems. The same biological hardware platform handles diverse computational universality requirements through reconfigurable coupling topologies and parameter adjustments.
3Productivity
If cardiac muscle cells are coupled to form networks, then computation speed and parallelism are improved, but system complexity increases
Solution Approach 1:
Cardiac fibroblast cells serve as intermediary coupling elements between cardiac muscle cell clusters. These fibroblast bridges naturally mediate electrical and mechanical coupling, enabling synchronized oscillation across the network without requiring complex external control mechanisms. The intermediaries simplify the overall system architecture by providing innate coupling functionality.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The coupled bio-oscillator networks can solve computationally hard problems like vertex coloring and optimization tasks with high throughput and low energy consumption, outperforming traditional Boolean algorithms by leveraging the synchronized beating of cardiac muscle cells as a biological hardware platform.
Implementation Method 1
The at least one CF cell bridge provides electrical conduction between the at least two CM cell clusters
Data Source
AI summary
A coupled bio-oscillating material is disclosed. The coupled bio-oscillating material comprises at least two cardiac muscle (CM) cell clusters and at least one cardiac fibroblast (CF) cell bridge on a substrate. The at least one CF cell bridge provides electrical conduction between the at least two CM cell clusters. The at least two CM cell clusters oscillate and synchronize at a unique phase ordering between the at least two CM cell clusters. The coupled bio-oscillating material can be used. The coupled bio-oscillating material can be used to create coupled bio-oscillator networks. A method of creating a coupled bio-oscillator network. The coupled bio-oscillator networks can be used for collective computing. A re-programmable bio-oscillatory network is also disclosed. The re-programmable bio-oscillatory network comprises a patterning layer, an enzyme channeling layer, and a pneumatic controlling layer.