Dataset Viewer: PathMap Studio™ - Artificial General Intelligence Research

PathMap Literature Based Discovery Engine

Share your Discovery:

Guaranteed to find unpublished literature based discoveries.

PathMap Artificial General Intelligence™ is a local-first research engine that implements Gating Semantic Drift™ technology.

The software procures veridical, source-aligned research literature audits with guaranteed 0% mis-stated quotes AND perfect APA citations.

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Latest Results


Experiment #00000145

The use of cGAS-STING inhibitors (e.g., H151) and senotherapeutics, currently being explored for cancer and neurodegeneration, may provide a novel pharmacological path for rescuing sarcopenic muscle function.

Mitochondrial dysfunction _gates_from_mitochondrial_dysfunction DNA, Mitochondrial _gates_to_dna__mitochondrial _gates_from_dna__mitochondrial cGAS-STING signaling _gates_to_cgas_sting_signaling _gates_from_cgas_sting_signaling Cellular Senescence _gates_to_cellular_senescence
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Experiment #00000144

Discovery: Intradermal administration of small plant-derived extracellular vesicles (such as Ginger-EVs or Ginseng-EVs) may exploit size-dependent interstitial drainage to intentionally target regional lymph nodes, thereby delivering therapeutic payloads directly to immune clearance systems to treat lymphatic metastases and viral reservoirs.

Intradermal Injection _gates_from_intradermal_injection Lymph Nodes _gates_to_lymph_nodes Plant-Derived Nanovesicles _gates_from_plant_derived_nanovesicles Interstitial Fluid _gates_to_interstitial_fluid Drug Delivery Systems _gates_from_drug_delivery_systems
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Experiment #00000143

Hypothesis: Dual-axis intranasal delivery of Spermidine-Modified Ginger-Derived Extracellular Vesicles (Spd-GDEVs) and SPG302 (Tazbentetol) via the cribriform plate may synergistically reverse motor neuron degeneration in sporadic ALS by simultaneously activating upstream proteostatic clearance networks and restoring downstream cytoarchitectural synaptic timing.

Administration, Intranasal _gates_from_administration__intranasal Autophagy _gates_to_autophagy SPG302 Application _gates_from_spg302_application Post-Synaptic Density _gates_to_post_synaptic_density
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Experiment #00000142

assessment of false discovery rate control in tandem mass spectrometry analysis using entrapment

Cascaded searching _gates_from_cascaded_searching Data Interpretation, Statistical _gates_to_data_interpretation__statistical _gates_from_data_interpretation__statistical Gene Fusion _gates_to_gene_fusion Proteomics _gates_from_proteomics Reproducibility of Results
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Experiment #00000141

Hypothesis: Repurposing IVF screening tools to verify CRISPR-corrected induced pluripotent stem cells (iPSCs), combined with in vitro gametogenesis, may potentially create disease-free germlines that could eradicate heritable hematological mutations in future generations, such as sickle cell disease.

CRISPR-Cas Systems _gates_from_crispr_cas_systems Induced Pluripotent Stem Cells _gates_to_induced_pluripotent_stem_cells _gates_from_induced_pluripotent_stem_cells Anemia, Sickle Cell _gates_to_anemia__sickle_cell
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Experiment #00000140

celery + headaches

Apium graveolens _gates_from_apium_graveolens Clinical outcomes _gates_to_clinical_outcomes
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See the PathMap Research Engine in Action

PathMap in Action

Check out the PathMap official YouTube channel and view videos and streams of real builds I am making for the PathMap Global Gated Graphed Neural Network of Human Pathology.

View the PathMap portfolio on Zenodo

Beginning in June 2026, I will begin posting dataset results in the PathMap community page hosted at Zenodo, wherein I will generally publish the PathMap and logic gates and also utilize the Zenodo tagging system within the community to make discovery of related results more practical.

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1/5: 0% Mis-stated Quotes

PathMap fetches PubMed abstracts (your choice) and creates its grounding using quotes. If the AI mis-states even one character of any of the quotes, the response is failed with feedback and retried until the AI provides a fully grounded and veridical response.

2/5: Veridical Enforcement

When researching, PathMap audits the attempt after quote validation to ensure that the pending response does not have any illogical statements. I cannot guarantee the logical accuracy of the responses because AI can miscalculate. However, given perfect grounding and post-generation auditing before acceptance, the responses are consistenly scored as exceptionally accurate and up to date. The primary error the veridical enforcer seems to block is when a dataset has old data and newer data but the AI trusted/chose out of date data in a way that conflicts with newer data. PathMap prevents this from happening.

3/5: Literature-Based Discoveries in Moments

PathMap is able to quickly identify overlooked or new correlations from thousands abstracts using augmented generation (RAG) optimization. Whether running adversarial claims across thousands of PubMed abstracts or focusing on a single set of evidence and iteratively evaluating, PathMap maps Suggested Experiments, Studies And Opportunities, Swanson's Literature Based Discovery Candidates, Contradictions Between Evidences, and Repurposed Solutions.

4/5: 100% Privacy-First Deliverables

Your purchased research and hypotheses belong to you. I will only deliver your final data assets to the email that you use when you pay for your order with and never anywhere else. As noted above, each research purchase comes with a customized PathMap user HTML viewer that will allow you to easily see, understand, and expand your dataset with ease from day 1.

5/5: Manual review, but not peer reviewed

I review every result as a final veridical enforcement agent. If the AI failed, I throw out the whole response and run it again. I also make sure that the AI makes at least one unpublished / not-known-to-yet-be-published literature based discovery. See the Curation Policy

Frequently Asked Questions

1️⃣

Is it possible for me to order custom research?

No, but you can download the software and use it under the Apache License 2.0 as of August 28, 2026..

2️⃣

Is PathMap an autonomous AI system?

No, every query is typed in by the webmaster and PathMap evaluates the literature. Often, several queries and rewordings are needed before the AI returns a response that is helpful and veridical to the verbatim quotes.

4️⃣

What else can the PathMap HTML viewer do?

No viewer is included at this time beyond the reports and report generation within the app. I have decided to open source the code so you can easily build your own custom dataset viewers based on the trace files using just about any good coding AI.

5️⃣

Do you verify the clinical accuracy of the data?

NO. I AM NOT A MEDICAL PROFESSIONAL and it would be highly illegal for me to claim otherwise or imply such a thing.

The datasets that PathMap delivers are guaranteed to have no mis-stated quotes and proper APA citations. If there is an issue regarding veridical metrics, I will first determine what happened and fix the issue, and then rebuild. It is programatically impossible for a quote to be mis-stated within the PathMap code. Finally, I do review the datasets for quality and to ensure the AI made a legitimate discovery. During late 2026, a curation video library will be created showing the process of inquisition to ensure veridicality to the PubMed data provided in the results' sources.

View the Curation Policy

6️⃣

The license is complex. Can you summarize it?

It is not complex any more. It is now under the Apache License 2.0

The Developer & The Mission

The Mission of Artificial General Intelligence LLC™:
To build tools that are profoundly beneficial to humanity and productivity while fiercely protecting against human labor displacement. Academic, clinical, and independent research should be adoption barrier-free to the greatest extent that is reasonable when the PathMap™ Artificial General Intelligence™ technology is used toward the tangible betterment of patient outcomes and global humanitarian needs. All applications and outputs are freely available. Click here to view the Apache License 2.0.

Open-Source Notice: Core technologies including Gating Semantic Drift™, Veridical AI Enforcement™, and the Universal AI Workbench™ framework are proudly released as open-source software under the Apache License 2.0 to foster transparent collaboration and accelerate global research.

Hello, I am Joshua Dungan, the founder of Artificial General Intelligence LLC™ and the lead systems architect behind the PathMap™ cognitive engine.

As a full-time, independent caregiver, I built PathMap™ out of personal inspiration. After seeing Eric Dane's ALS interview in June 2025, I decided to apply advanced systems architecture to neurodegenerative research. I realized that critical, life-saving correlations exist right now—trapped in fragmented academic databases, just waiting for a verifiable, hallucination-free system to connect the dots and accelerate cures.

The core philosophy of Artificial General Intelligence LLC™ is to provide powerful, localized intelligence services that accelerate scientific breakthroughs while fiercely protecting human cognitive labor from displacement.