SkinTwin: OpenCog-Based Dermatological Model for Emacs

Overview

SkinTwin is a multiscale dermatological model powered by OpenCog's cognitive architecture components, implemented for Emacs. This system integrates various modules to represent skin biology, environmental factors, and clinical outcomes through a comprehensive knowledge graph and reasoning system.

Key Components

• DermatoGraph (AtomSpace): Knowledge representation system storing data about skin biology, conditions, and treatments
• SensoryFocus (ECAN): Attention allocation system that prioritizes relevant information
• DermatoLogic (PLN): Probabilistic reasoning system for deriving logical inferences about skin health
• EpidermiLearn (MOSES): Pattern mining and model building for treatment efficacy prediction
• RuleDerm (URE): Rule-based reasoning system for executing logical rules
• ESN Prediction: Temporal pattern recognition for disease progression modeling

Installation

This package requires aichat which implements the core OpenCog cognitive architecture components.

;; Clone the repository
(add-to-list 'load-path "/path/to/skintwin")

;; Load the package
(require 'skintwin)

;; Enable the interactive mode (optional)
(skintwin-mode 1)

Usage

Basic Commands

• M-x skintwin-initialize - Initialize the SkinTwin system
• M-x skintwin-dashboard - Display the main dashboard
• M-x skintwin-query-treatments - Query treatments for a skin condition
• M-x skintwin-analyze-patient - Analyze a patient's skin conditions
• M-x skintwin-predict-progression - Predict disease progression with treatment

Interactive Mode

Enable the minor mode with M-x skintwin-mode. This provides convenient keybindings:

• C-c s d - Display dashboard
• C-c s q - Query treatments
• C-c s a - Analyze patient
• C-c s p - Predict progression
• C-c s v - Visualize knowledge graph
• C-c s h - Display help

Org Mode Integration

When working with Org files:

• C-c o k - Convert the current heading to knowledge base entries
• C-c o b - Convert the entire buffer to the knowledge base
• C-c o v - Visualize attention flow
• C-c o q - Query related concepts
• C-c o r - Apply reasoning

Example Workflow

1. Initialize the system with C-c s i
2. Open the dashboard with C-c s d
3. Add a patient with C-c s P then press a
4. Add a condition to the patient using c
5. Analyze the patient with C-c s a
6. Query treatments for a condition with C-c s q
7. Predict disease progression with C-c s p

Extending the Knowledge Base

The knowledge base can be extended using Org mode:

* Skin Condition
:PROPERTIES:
:STI: 0.900
:LTI: 0.700
:END:

** Rosacea
:PROPERTIES:
:STI: 0.800
:END:

Chronic inflammatory skin condition affecting the face.
has_symptom(facial_redness)
has_symptom(visible_blood_vessels)
has_symptom(papules)
has_trigger(sun_exposure)

Convert this to the knowledge base with C-c o k.

Visualization

SkinTwin provides multiple visualization options:

• Knowledge graph visualization
• Attention heatmaps
• Disease progression predictions
• Network analysis

Access these through the visualization dashboard with C-c s V.

License

This project is available under the GPLv3 License.