BioTooth Specification - Open Arsenal

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BioTooth

Search the Science. Discover the Possibilities.

BioTooth is an AGPL-3.0+ open-source specification for AI-assisted dental research and discovery. The specification provides a modular framework for discovering, analyzing, connecting, and evaluating scientific literature, patents, materials, compounds, biological mechanisms, and procedures that may contribute to the preservation, repair, reinforcement, or regeneration of natural teeth.

BioTooth is designed to help dental pharmacologists, dental researchers, materials scientists, regenerative dentistry researchers, biomedical researchers, and other qualified professionals investigate existing knowledge before pursuing new research. The system searches across scientific literature, patent records, clinical evidence, materials research, regulatory information, and related scientific disciplines to expose existing discoveries, identify overlooked research, understand proprietary constraints, and discover alternative research pathways.

Specification Goals

BioTooth is designed to:

Accelerate dental research and discovery.
Search existing scientific knowledge before identifying potential discoveries as novel.
Connect scientific literature with patents and related research.
Identify overlooked, forgotten, abandoned, or under-researched discoveries.
Analyze proprietary technologies and identify potential alternative research pathways.
Discover materials, compounds, formulations, and procedures for dental applications.
Investigate approaches for preserving natural tooth structure.
Research potential approaches to enamel, dentin, pulp, periodontal, and tooth-support regeneration.
Investigate cracked-tooth preservation and structural reinforcement.
Support research into pulp preservation and regenerative endodontics.
Identify research opportunities that may reduce reliance on irreversible dental interventions where scientifically appropriate.
Distinguish established evidence from experimental findings and AI-generated hypotheses.
Maintain complete research provenance.
Provide researchers with auditable and reproducible discovery workflows.
Remain modular, extensible, vendor-neutral, and open source.

Core Principles

Search Before Discovery

BioTooth must search available scientific literature, patents, prior art, clinical research, and related knowledge before identifying a concept as potentially novel.

Evidence Before Conclusions

BioTooth must distinguish between established scientific evidence, preliminary evidence, experimental findings, computational predictions, patent claims, and AI-generated hypotheses.

Alternatives to Proprietary Solutions

When a promising technology is proprietary or otherwise constrained, BioTooth should continue searching for alternative materials, compounds, mechanisms, formulations, procedures, or research pathways.

Preserve Natural Teeth

BioTooth prioritizes research into approaches that may preserve natural tooth structure and biological function while recognizing that conventional clinical interventions may remain necessary in individual circumstances.

Human Scientific Oversight

BioTooth is a research and discovery specification. AI-generated findings must remain subject to qualified human scientific, clinical, regulatory, and legal review where applicable.

Reproducible Discovery

Research findings should retain their source information, search history, evidence relationships, reasoning provenance, and review history so discoveries can be independently investigated.

Core Modules

Dental Problem Intelligence Module

The Dental Problem Intelligence Module classifies dental problems and connects them with relevant biological mechanisms, materials, compounds, procedures, and research.

Features include:

Dental problem classification.
Tooth-damage classification.
Structural damage analysis.
Biological damage analysis.
Infectious-condition classification.
Inflammatory-condition classification.
Regenerative opportunity identification.
Tooth-preservation objective identification.
Problem-to-mechanism mapping.
Problem-to-material mapping.
Problem-to-procedure mapping.
Problem-to-research mapping.
Research pathway generation.

Supported research areas include:

Cracked teeth.
Microfractures.
Enamel fractures.
Enamel erosion.
Enamel demineralization.
Enamel loss.
Dentin damage.
Dentin exposure.
Dental caries.
Root caries.
Pulp exposure.
Pulp inflammation.
Pulp injury.
Tooth-root damage.
Tooth sensitivity.
Periodontal tissue damage.
Bone-support loss.
Tooth instability.
Post-traumatic tooth damage.

Scientific Literature Discovery Module

The Scientific Literature Discovery Module searches scientific publications and related research sources to identify existing knowledge and research opportunities.

Features include:

Peer-reviewed literature search.
Biomedical literature search.
Dental literature search.
Pharmacology literature search.
Materials-science literature search.
Biomaterials literature search.
Regenerative-medicine literature search.
Tissue-engineering literature search.
Microbiology literature search.
Chemistry literature search.
Biochemistry literature search.
Nanotechnology literature search.
Clinical literature search.
Historical literature search.
University research discovery.
Dissertation discovery.
Thesis discovery.
Conference research discovery.
Government research discovery.
Research-grant discovery.
Clinical-trial literature discovery.

Literature Intelligence Module

The Literature Intelligence Module analyzes relationships between publications, researchers, institutions, mechanisms, materials, and discoveries.

Features include:

Semantic literature search.
Keyword search.
Concept search.
Mechanism-based search.
Citation-network analysis.
Related-paper discovery.
Citation-chain reconstruction.
Author relationship analysis.
Research-group identification.
Institution research mapping.
Research chronology.
Terminology normalization.
Historical terminology mapping.
Synonym expansion.
Abbreviation resolution.
Cross-disciplinary terminology mapping.
Duplicate research detection.
Contradictory finding detection.
Replication detection.
Research-gap identification.
Neglected research identification.
Overlooked discovery identification.
Abandoned research identification.

Patent Discovery Module

The Patent Discovery Module searches patent records to identify existing inventions, proprietary technologies, prior art, and opportunities for alternative research.

Features include:

Domestic patent searching.
International patent searching.
Patent-family discovery.
Patent-application discovery.
Patent-grant discovery.
Patent-status tracking.
Patent-expiration tracking.
Abandoned-patent identification.
Expired-patent identification.
Patent ownership tracking.
Assignee identification.
Inventor identification.
Continuation tracking.
Divisional application tracking.
Related-application tracking.
Patent citation analysis.
Forward-citation analysis.
Backward-citation analysis.
Patent classification analysis.
Patent landscape generation.

Patent Claim Intelligence Module

The Patent Claim Intelligence Module analyzes patent claims and connects them with the scientific concepts and technologies they describe.

Features include:

Claim extraction.
Independent-claim analysis.
Dependent-claim analysis.
Claim-element mapping.
Material claim identification.
Compound claim identification.
Formulation claim identification.
Process claim identification.
Method-of-use claim identification.
Manufacturing claim identification.
Application claim identification.
Claim-to-science mapping.
Claim-to-material mapping.
Claim-to-procedure mapping.
Patent-family claim comparison.
Claim-change tracking.

Prior Art Discovery Module

The Prior Art Discovery Module reconstructs the history of scientific and technological concepts.

Features include:

Prior-art searching.
Earlier scientific publication discovery.
Earlier patent discovery.
Public-disclosure discovery.
Academic disclosure discovery.
Government research discovery.
University research discovery.
Expired technology discovery.
Abandoned technology discovery.
Historical formulation discovery.
Historical procedure discovery.
Prior-art chronology.
Prior-art relationship mapping.
Potentially overlooked prior-art identification.

Proprietary Technology Analysis Module

The Proprietary Technology Analysis Module identifies proprietary dependencies and evaluates whether research pathways rely on protected technologies.

Features include:

Proprietary material identification.
Proprietary compound identification.
Proprietary formulation identification.
Proprietary procedure identification.
Proprietary manufacturing-process identification.
Proprietary technology dependency mapping.
Patent ownership mapping.
Licensing barrier identification.
Patent-status analysis.
Jurisdiction analysis.
Patent-family analysis.
Commercial availability analysis.
Academic availability analysis.
Public-domain technology identification.

Alternative Discovery Module

The Alternative Discovery Module searches for scientifically relevant alternatives when an existing technology is proprietary, unavailable, expired, abandoned, restricted, or otherwise unsuitable.

Features include:

Alternative material discovery.
Alternative compound discovery.
Alternative formulation discovery.
Alternative procedure discovery.
Alternative manufacturing-process discovery.
Alternative biological pathway discovery.
Functionally equivalent material discovery.
Mechanistically equivalent solution discovery.
Biomimetic alternative discovery.
Non-proprietary alternative discovery.
Public-domain alternative discovery.
Expired-patent alternative discovery.
Academic alternative discovery.
Lower-complexity alternative discovery.
Lower-cost alternative discovery.
Multi-pathway alternative discovery.

BioTooth must not represent an alternative as legally non-infringing without appropriate legal analysis. Patent research results should be treated as research information requiring qualified patent counsel when freedom-to-operate or infringement determinations are necessary.

Scientific Equivalence Module

The Scientific Equivalence Module searches beyond identical materials and identifies alternatives based on function, mechanism, structure, biological activity, or material properties.

Features include:

Functional similarity analysis.
Biological-function matching.
Mechanism matching.
Molecular similarity analysis.
Structural similarity analysis.
Material-property similarity analysis.
Tissue-response similarity analysis.
Mineralization-function matching.
Antibacterial-function matching.
Anti-inflammatory-function matching.
Adhesion-function matching.
Regeneration-function matching.
Structural-reinforcement matching.

Dental Material Discovery Module

The Dental Material Discovery Module searches for materials that may have applications in dental repair, preservation, reinforcement, regeneration, or tissue engineering.

Features include:

Dental biomaterial discovery.
Bioactive material discovery.
Mineral-based material discovery.
Ceramic discovery.
Polymer discovery.
Hydrogel discovery.
Composite-material discovery.
Adhesive-material discovery.
Scaffold discovery.
Coating discovery.
Surface-treatment discovery.
Nanomaterial discovery.
Biomimetic material discovery.
Self-assembling material discovery.
Self-healing material discovery.
Stimuli-responsive material discovery.
Bioactive glass research.
Calcium-phosphate material research.
Peptide-based material research.
Protein-based material research.

Tooth Remineralization Module

The Tooth Remineralization Module investigates materials and mechanisms associated with mineral restoration and prevention of further mineral loss.

Features include:

Enamel remineralization research.
Dentin remineralization research.
Mineral-deposition research.
Calcium-based agent discovery.
Phosphate-based agent discovery.
Fluoride-based agent discovery.
Peptide-based remineralization.
Protein-based mineralization.
Biomimetic mineralization.
Crystal-growth research.
Enamel-surface research.
Dentin-surface research.
Demineralization reversal research.
Mineral-loss prevention research.
Mineralization mechanism analysis.

Enamel Research Module

The Enamel Research Module focuses on the biology, chemistry, structure, preservation, and potential regeneration of enamel.

Features include:

Enamel formation research.
Enamel regeneration research.
Enamel remineralization.
Enamel crystal research.
Enamel biomimicry.
Enamel adhesion research.
Enamel repair materials.
Enamel-strengthening materials.
Enamel surface engineering.
Enamel degradation analysis.

Dentin Research Module

The Dentin Research Module investigates approaches for preserving, repairing, reinforcing, and potentially regenerating dentin.

Features include:

Dentin regeneration research.
Reparative dentin research.
Dentin mineralization.
Dentin biomimicry.
Dentin sealing.
Dentin bonding.
Dentin reinforcement.
Dentin permeability research.
Odontogenic signaling research.
Dentin-forming agent discovery.
Scaffold-based dentin research.

Pulp Preservation Module

The Pulp Preservation Module investigates materials, compounds, biological mechanisms, and procedures that may support preservation or repair of viable dental pulp.

Features include:

Pulp-preservation research.
Pulp-capping material discovery.
Direct pulp-capping research.
Indirect pulp-capping research.
Bioactive pulp materials.
Reparative dentin stimulation.
Anti-inflammatory material discovery.
Antibacterial material discovery.
Pulp-compatible material discovery.
Pulp-toxicity analysis.
Pulp healing research.
Pulp regeneration research.
Vital-pulp therapy research.
Regenerative endodontics research.

Cracked Tooth Research Module

The Cracked Tooth Research Module focuses on materials and biological approaches for investigating tooth cracks, microfractures, stabilization, and preservation.

Features include:

Crack classification.
Crack-depth analysis.
Crack-location analysis.
Crack-propagation research.
Microcrack research.
Crack-sealing material discovery.
Crack-penetrating material research.
Crack-stabilization research.
Structural reinforcement research.
Biomimetic bonding research.
Self-healing material research.
Moisture-responsive material research.
Bioactive crack-sealing research.
Pulp-protection research.
Crack-associated bacterial-infiltration research.
Crack-repair material comparison.

Root Canal Preservation Module

The Root Canal Preservation Module investigates scientific approaches for preserving pulp vitality and researching alternatives to conventional endodontic intervention where clinically appropriate.

Features include:

Root-canal avoidance research.
Vital-pulp preservation.
Pulp-repair research.
Pulp-regeneration research.
Reparative dentin research.
Antibacterial pulp protection.
Anti-inflammatory approaches.
Bioactive pulp materials.
Regenerative endodontics.
Alternative endodontic research.
Evidence comparison.
Failure-risk analysis.
Treatment-boundary identification.

Tooth Preservation Module

The Tooth Preservation Module focuses on research designed to preserve natural tooth structure and biological function.

Features include:

Natural-tooth preservation.
Minimally invasive dentistry research.
Structural preservation.
Biological preservation.
Tooth reinforcement.
Tooth stabilization.
Pulp preservation.
Dentin preservation.
Enamel preservation.
Periodontal support preservation.
Long-term preservation research.
Tooth-loss prevention research.

Extraction Avoidance Research Module

The Extraction Avoidance Research Module searches for technologies and biological approaches that may contribute to preservation of teeth and supporting structures.

Features include:

Tooth-preservation technology discovery.
Structural reinforcement research.
Periodontal regeneration.
Bone regeneration.
Tooth-support regeneration.
Biological repair research.
Stabilization technologies.
Regenerative-material discovery.
Alternative intervention discovery.
Long-term outcome research.

Regenerative Dentistry Module

The Regenerative Dentistry Module investigates biological and materials-based approaches for restoration of dental tissues.

Features include:

Enamel regeneration.
Dentin regeneration.
Pulp regeneration.
Periodontal regeneration.
Bone regeneration.
Dental-tissue engineering.
Stem-cell research.
Growth-factor research.
Signaling-pathway research.
Scaffold research.
Biomaterial research.
Cell-material interaction research.
Tissue-interface research.
Regenerative mechanism discovery.

Biomimetic Dentistry Module

The Biomimetic Dentistry Module searches biological systems and natural tooth processes for mechanisms that may inspire new dental materials and procedures.

Features include:

Natural tooth structure analysis.
Natural mineralization analysis.
Enamel biomimicry.
Dentin biomimicry.
Natural adhesion research.
Natural repair mechanisms.
Biological self-assembly.
Biomimetic crystal formation.
Biomimetic surfaces.
Biomimetic scaffolds.
Biomimetic composites.
Nature-inspired material discovery.

Pharmacological Discovery Module

The Pharmacological Discovery Module investigates compounds and pharmacological mechanisms that may have dental applications.

Features include:

Dental pharmacology research.
Drug-target mapping.
Compound discovery.
Drug repurposing.
Existing-drug analysis.
Mechanism-based repurposing.
Anti-inflammatory agent discovery.
Antibacterial agent discovery.
Mineralization-related compound discovery.
Regenerative compound discovery.
Odontogenic signaling research.
Pulp-protective compound discovery.
Tissue-repair compound discovery.

Natural and Biological Discovery Module

The Natural and Biological Discovery Module searches biological sources for potentially useful materials, molecules, mechanisms, and repair processes.

Features include:

Natural-compound discovery.
Peptide discovery.
Protein discovery.
Enzyme discovery.
Mineral discovery.
Biomolecule discovery.
Biological polymer discovery.
Bioactive compound discovery.
Nature-inspired material discovery.
Organism-derived mechanism discovery.
Biological self-repair discovery.

Combination Discovery Module

The Combination Discovery Module searches for complementary combinations of materials, compounds, biological mechanisms, and procedures.

Features include:

Material-combination discovery.
Compound-combination discovery.
Biomaterial-combination discovery.
Material-drug combinations.
Scaffold-material combinations.
Synergy analysis.
Antagonism detection.
Compatibility analysis.
Combination evidence mapping.
Multi-mechanism solution discovery.
Sequential-treatment research.
Layered-material research.

Material Compatibility Module

The Material Compatibility Module evaluates available evidence regarding how candidate materials interact with dental tissues and relevant biological environments.

Features include:

Enamel compatibility.
Dentin compatibility.
Pulp compatibility.
Periodontal compatibility.
Cellular compatibility.
Tissue compatibility.
Adhesion analysis.
Mechanical-strength analysis.
Elasticity analysis.
Fracture-resistance analysis.
Wear-resistance analysis.
Moisture-resistance analysis.
Thermal-expansion analysis.
Chemical-stability analysis.
Degradation analysis.
Bioactivity analysis.
Surface-chemistry analysis.

Safety and Toxicology Module

The Safety and Toxicology Module evaluates available safety evidence for candidate materials and compounds.

Features include:

Cytotoxicity analysis.
Pulp toxicity analysis.
Tissue toxicity analysis.
Genotoxicity research.
Irritation analysis.
Sensitization analysis.
Allergic-potential research.
Systemic-exposure analysis.
Degradation-product analysis.
Nanomaterial safety analysis.
Long-term exposure analysis.
Dose-response evidence.
Safety-evidence ranking.
Toxicology literature mapping.

Evidence Intelligence Module

The Evidence Intelligence Module classifies and compares evidence supporting research candidates.

Features include:

Evidence-level classification.
Evidence-quality scoring.
Clinical-evidence analysis.
Human observational evidence.
Animal-study analysis.
Ex-vivo evidence.
In-vitro evidence.
Computational evidence.
Patent-only evidence.
Hypothesis classification.
Evidence-gap detection.
Contradictory-evidence detection.
Replication analysis.
Study-quality analysis.
Methodology comparison.
Research-confidence scoring.

Regulatory Intelligence Module

The Regulatory Intelligence Module tracks regulatory information relevant to materials, compounds, procedures, and dental technologies.

Features include:

FDA-status research.
International regulatory-status research.
Approved-material tracking.
Investigational-material tracking.
Clinical-trial tracking.
Regulatory-warning tracking.
Safety-alert tracking.
Recall tracking.
Regulatory pathway mapping.
Material approval history.
Product-status history.
Jurisdiction-specific regulatory analysis.

Candidate Ranking Module

The Candidate Ranking Module provides configurable research rankings for materials, compounds, mechanisms, formulations, and procedures.

Candidate rankings may consider:

Evidence strength.
Clinical evidence.
Regenerative potential.
Tooth-preservation potential.
Pulp-preservation potential.
Structural-reinforcement potential.
Biocompatibility.
Safety.
Durability.
Adhesion.
Antibacterial activity.
Anti-inflammatory potential.
Manufacturing feasibility.
Availability.
Cost.
Regulatory complexity.
Patent restrictions.
Research novelty.
Prior-art status.
Evidence gaps.
Translation potential.

Rankings must remain configurable and must not be represented as definitive clinical recommendations.

Research Hypothesis Module

The Research Hypothesis Module uses existing evidence and identified gaps to generate research hypotheses for human evaluation.

Features include:

Research-question generation.
Hypothesis generation.
Mechanism-based hypothesis generation.
Cross-disciplinary hypothesis generation.
Material-combination hypotheses.
Alternative-procedure hypotheses.
Regeneration hypotheses.
Tooth-preservation hypotheses.
Prior-art-informed hypothesis generation.
Evidence-gap-informed hypothesis generation.
Hypothesis confidence scoring.
Hypothesis provenance tracking.

Experimental Research Support Module

The Experimental Research Support Module organizes the research requirements needed to investigate promising candidates.

Features include:

Candidate selection.
Candidate comparison.
Experimental objective generation.
Validation-pathway mapping.
Evidence requirements.
Control-group identification.
Measurement-variable identification.
Material-property testing suggestions.
Biocompatibility validation requirements.
Reproducibility requirements.
Failure-mode identification.
Research milestone tracking.

BioTooth must not autonomously authorize experiments involving humans, animals, hazardous materials, regulated substances, or clinical procedures.

Knowledge Graph Module

The Knowledge Graph Module connects entities and relationships across dental science, materials science, pharmacology, patents, literature, clinical research, and regulatory information.

Features include:

Dental-problem relationships.
Material relationships.
Compound relationships.
Biological-mechanism relationships.
Tissue relationships.
Gene and protein relationships.
Patent relationships.
Literature relationships.
Researcher relationships.
Institution relationships.
Clinical-trial relationships.
Regulatory relationships.
Alternative-technology relationships.
Prior-art relationships.
Evidence relationships.

Discovery Provenance Module

The Discovery Provenance Module records how each research finding was identified and evaluated.

Features include:

Source tracking.
Citation tracking.
Patent-source tracking.
Dataset provenance.
AI-inference provenance.
Evidence-chain reconstruction.
Discovery timeline.
Search-history preservation.
Query provenance.
Research-version tracking.
Human-review history.
Decision audit trail.
Reproducible discovery records.

Research Dashboard Module

The Research Dashboard Module provides interfaces for navigating discoveries and research relationships.

Features include:

Dental problem dashboard.
Research candidate dashboard.
Patent landscape dashboard.
Literature landscape dashboard.
Evidence dashboard.
Material comparison dashboard.
Research-gap dashboard.
Discovery timeline.
Alternative-pathway dashboard.
Regulatory dashboard.
Safety dashboard.
Human-review queue.

Research Alert Module

The Research Alert Module continuously monitors research and technology sources for relevant changes.

Features include:

New-paper alerts.
New-patent alerts.
Patent-status alerts.
Patent-expiration alerts.
New clinical-trial alerts.
New regulatory alerts.
New safety alerts.
New material discoveries.
New research connecting existing discoveries.
Previously overlooked research alerts.
Candidate-ranking change alerts.

Human Scientific Review Module

The Human Scientific Review Module provides qualified researchers with control over discovery validation and interpretation.

Features include:

Researcher review queues.
Candidate approval.
Candidate rejection.
Evidence annotation.
Patent annotation.
Source annotation.
Researcher comments.
Competing-hypothesis comparison.
Expert confidence scoring.
Manual evidence correction.
Research consensus tracking.
Peer-review workflow.
Disputed-finding tracking.

AI Transparency Module

The AI Transparency Module ensures that generated research findings can be understood, investigated, and challenged.

Features include:

Evidence-versus-hypothesis separation.
Source-backed claims.
Confidence reporting.
Uncertainty reporting.
Contradictory-evidence disclosure.
Missing-evidence disclosure.
Patent-claim versus scientific-evidence separation.
Experimental versus established classification.
AI-inference labeling.
Human-review status.
Source verification.
Reasoning provenance.

Safety and Research Integrity Module

The Safety and Research Integrity Module establishes safeguards around the use of AI for dental research.

Features include:

Patient-safety prioritization.
Natural-tooth preservation research orientation.
Human oversight.
Experimental-status disclosure.
Risk classification.
Safety-first candidate ranking.
Regulatory-status disclosure.
Conflict-of-interest tracking.
Funding-source tracking.
Research-integrity controls.
Reproducibility requirements.
Source-quality requirements.

Optional Plugin Modules

BioTooth supports optional plugins that extend the core specification without requiring every deployment to implement every capability.

Patent Database Plugins

Optional plugins may connect BioTooth to:

National patent databases.
International patent databases.
Patent-family databases.
Patent classification services.
Patent-status services.
Commercial patent intelligence services.

Scientific Database Plugins

Optional plugins may connect BioTooth to:

Biomedical literature databases.
Dental literature databases.
Materials databases.
Chemistry databases.
Protein databases.
Gene databases.
Clinical-trial databases.
Citation databases.
Academic repositories.

Regulatory Data Plugins

Optional plugins may provide:

FDA data.
International regulatory data.
Medical-device regulatory data.
Dental-material approval data.
Safety-alert data.
Recall data.

Laboratory Data Plugins

Optional plugins may integrate:

Laboratory information systems.
Material testing systems.
Microscopy systems.
Imaging systems.
Spectroscopy data.
Experimental datasets.
Research notebooks.

Molecular Research Plugins

Optional plugins may provide:

Molecular databases.
Chemical structure search.
Protein interaction data.
Molecular similarity search.
Computational chemistry.
Molecular modeling.
Biological pathway analysis.

AI Model Plugins

Optional plugins may support:

General-purpose language models.
Scientific language models.
Biomedical language models.
Chemistry models.
Materials-science models.
Molecular models.
Local AI models.
Specialized research agents.

Imaging Plugins

Optional plugins may support research analysis involving:

Dental radiography.
Cone-beam computed tomography.
Microscopy.
Micro-computed tomography.
Histology.
3D tooth imaging.
Material microscopy.

Imaging plugins must remain research tools and must not autonomously provide clinical diagnoses.

Research Collaboration Plugins

Optional plugins may provide:

Research-team collaboration.
Shared annotations.
Peer review.
Research discussion.
Discovery sharing.
Research project management.
Institutional collaboration.

Knowledge Graph Plugins

Optional plugins may provide:

Graph databases.
External ontology systems.
Biomedical ontologies.
Materials ontologies.
Chemical ontologies.
Dental terminology systems.

Patent Analysis Plugins

Optional plugins may provide advanced:

Claim similarity analysis.
Patent-family analysis.
Patent landscape generation.
Prior-art clustering.
Patent citation analysis.
Claim-element comparison.

Translation Plugins

Optional plugins may support:

Multilingual literature discovery.
Patent translation.
Scientific terminology translation.
Cross-language prior-art discovery.

Continuous Discovery

BioTooth is designed to continuously update its research knowledge as new evidence becomes available.

The system may monitor:

Scientific publications.
Patent applications.
Patent grants.
Patent status changes.
Patent expirations.
Clinical trials.
Regulatory changes.
Safety alerts.
New materials.
New compounds.
New research relationships.
New evidence affecting existing candidates.

New evidence should trigger appropriate updates to candidate rankings, evidence classifications, patent assessments, alternative pathways, and research hypotheses.

Discovery Workflow

BioTooth research workflows should generally follow this sequence:

Dental Problem
↓
Biological Mechanism
↓
Scientific Literature Search
↓
Patent Search
↓
Prior-Art Analysis
↓
Existing Solution Discovery
↓
Evidence Analysis
↓
Proprietary Technology Analysis
↓
Alternative Discovery
↓
Material and Procedure Candidates
↓
Safety Analysis
↓
Regulatory Analysis
↓
Candidate Ranking
↓
Research Hypothesis
↓
Human Scientific Review
↓
Experimental Validation
↓
New Evidence
↓
Knowledge Base Update

The workflow may be modified by individual modules or research configurations while preserving evidence provenance.

Evidence Classification

BioTooth should classify research findings using clear evidence categories:

Established

Supported by sufficient high-quality evidence, with the level of evidence explicitly documented.

Clinical Evidence

Supported by human clinical research, with study characteristics and limitations identified.

Preclinical

Supported by animal, ex-vivo, or other preclinical research but lacking sufficient clinical validation.

Laboratory

Supported primarily by in-vitro, materials, chemical, or laboratory research.

Computational

Supported primarily by computational modeling, simulation, or predictive analysis.

Patent Disclosure

Described in patent documentation but not necessarily validated by independent scientific evidence.

Research Hypothesis

A scientifically proposed possibility generated from existing evidence but requiring further validation.

Unsupported

A claim for which available evidence does not provide adequate support.

BioTooth must not treat patent claims as equivalent to scientific evidence.

Candidate Evaluation

BioTooth may evaluate research candidates according to multiple dimensions rather than a single score.

Evaluation dimensions may include:

Scientific evidence.
Clinical evidence.
Safety evidence.
Regenerative potential.
Tooth-preservation potential.
Pulp-preservation potential.
Structural reinforcement.
Material compatibility.
Durability.
Manufacturability.
Availability.
Cost.
Regulatory status.
Patent restrictions.
Prior-art status.
Research novelty.
Evidence gaps.
Translation potential.

All rankings must disclose the criteria used to generate them.

Patent and Proprietary Technology Principle

BioTooth is intended to make the research landscape more transparent, not to circumvent intellectual property rights.

The system may identify:

Existing patents.
Patent owners.
Patent claims.
Patent status.
Patent families.
Expired patents.
Abandoned applications.
Earlier publications.
Prior art.
Potentially restricted technologies.
Alternative research pathways.

BioTooth must not represent its patent analysis as legal advice or provide definitive freedom-to-operate or infringement determinations.

Clinical Safety Boundary

BioTooth is a research and discovery specification and is not itself a medical or dental treatment system.

BioTooth must:

Distinguish research from clinical treatment.
Distinguish hypotheses from validated interventions.
Present relevant uncertainty.
Identify evidence limitations.
Require qualified human review.
Avoid unsupported treatment claims.
Avoid autonomous clinical diagnosis.
Avoid autonomous clinical treatment prescriptions.
Avoid representing experimental materials as clinically established.
Identify when professional dental evaluation is required.

Open Research Infrastructure

BioTooth is designed to support an open-source research ecosystem through:

AGPL-3.0+ licensing.
Modular APIs.
Database interoperability.
Search-provider interoperability.
AI-model interoperability.
Exportable research records.
Machine-readable evidence.
Structured citations.
Portable knowledge graphs.
Self-hosted research environments.
Federated research possibilities.
Research collaboration interfaces.

Contribution Model

Contributions may include:

New research modules.
New discovery algorithms.
New database integrations.
New patent-analysis capabilities.
New scientific ontologies.
New material databases.
New evidence-classification methods.
New safety-analysis capabilities.
New regulatory integrations.
New AI research agents.
Documentation.
Testing.
Bug fixes.
Research workflow improvements.

All contributions must comply with the project’s AGPL-3.0+ licensing and attribution requirements.

Specification Branding License (SBL)

Standard

Fully AGPL-3.0+ compliant system.
Copyleft enforced for network deployments.
Required attribution:
- Roxanne Ardary.
- https://www.roxanneardary.com/

Optional

Specification Branding License (SBL)
- Attribution-free commercial deployment.
- Pricing based on scale, usage, and deployment scope.
- https://roxanneardary.com/biotooth/

License & Notice Requirements

BioTooth is released under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

By contributing to any Open Arsenal project, you agree that your contributions will also be released under this license.

Please note the following:

All contributions must comply with the AGPL-3.0+ terms.
Under Section 7 of the license, all redistributions, forks, and derivative works must preserve attribution to: Roxanne Ardary and roxanneardary.com.
BioTooth specifications are free to use with attribution. A Specification Branding License can be negotiated upon request.
The project’s notice.md file tracks attribution requirements and contributor acknowledgments. Any update that adds new contributors or modifies attribution should also update notice.md.
When submitting a pull request, ensure that any new files maintain the attribution headers where applicable.
Network-deployed versions of this software must also remain fully AGPL-3.0+ compliant, including exposure of source code modifications when applicable under the license.

For full legal details, please refer to the AGPL-3.0+ license and the project’s notice.md file.

Notice – BioTooth

Attribution Requirement: Under Section 7 of the AGPL 3.0+ license, all redistributions, forks, and derivative works, including network-deployed versions of this project, must provide attribution to Roxanne Ardary and roxanneardary.com.

Contributors

This file tracks contributors and their specific contributions to the project.

Roxanne Ardary, roxanneardary.com – August 28, 2026
Created the repository for BioTooth. Developed the specification for AI-assisted dental research and discovery focused on identifying materials, compounds, and procedures that may help preserve, repair, reinforce, and regenerate natural teeth.
[Add other contributors here] – [Date]
[Describe contribution in one sentence]

License – BioTooth

This repository is licensed under the GNU Affero General Public License v3.0 or later (AGPL-3.0+).

Key Points:

You are free to use, modify, and distribute the code.
All redistributions, forks, and derivative works or network-deployed versions must also be licensed under AGPL-3.0+ and provide attribution to Roxanne Ardary and roxanneardary.com as required under Section 7 of the license.
The software is provided “as is,” without warranty of any kind.

For the full license text, see GNU AGPL-3.0 License.