Dataset Viewer: Search Results for "axonal_transport" - PathMap Studio

PathMap Literature Based Discovery Engine

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Guaranteed to find unpublished literature based discoveries.

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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 #00000101

Hypothesis: If Botox were injected into the nerve ending on the third toe on the left foot, the toxin can "climb" retrograde from toe through motor neurons eventually to the brain and temporarily inhibit vesicular docking "from toe to head", potentially allowing a timed pharmacological therapeutic window for toxic EV clearance through the lymph system instead of docking and seeding.

Botulinum Toxins, Type A _gates_from_botulinum_toxins__type_a Axonal Transport _gates_to_axonal_transport _gates_from_axonal_transport SNARE Proteins _gates_to_snare_proteins _gates_from_snare_proteins Lymphatic Vessel Endothelial Hyaluronan Receptor-1 _gates_to_lymphatic_vessel_endothelial_hyaluronan_receptor_1
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Experiment #00000065

Does pathologically seeded TDP-43 exit the retina via anterograde axonal transport along the optic tract to midbrain hubs, enter the systemic circulation inside extracellular vesicles, and subsequently traffic into pancreatic beta-cells to accelerate type 2 diabetes phenotypes?

TAR DNA-Binding Protein 43 _gates_from_tar_dna_binding_protein_43 Extracellular Vesicles _gates_to_extracellular_vesicles Systemic circulating EVs _gates_from_systemic_circulating_evs Insulin-Secreting Cells _gates_to_insulin_secreting_cells Axonal Transport _gates_to_axonal_transport
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Experiment #00000039

What is the current evidence for RGNEF (ARHGEF28) functioning as a primary upstream regulator of axonal transport and TDP-43 homeostasis in ALS, and how does the failure of this 'terminal tether' initiate the pathological continuum compared to downstream protein aggregation?

Metabolic Stress _gates_from_metabolic_stress Protein Aggregation _gates_to_protein_aggregation _gates_from_protein_aggregation RNA Metabolism _gates_to_rna_metabolism _gates_from_rna_metabolism Axonal Transport _gates_to_axonal_transport
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Experiment #00000007

Simply put, we still don’t know why neurons are dying in ALS, and why motor neurons die while other types of neurons don’t. Even for genetic forms c9orf72 familial ALS, why is it that the mutation is in every cell but the motor neurons are dying ie have increased susceptibility?

Axonal Transport _gates_from_axonal_transport Motor Neuron Disease _gates_to_motor_neuron_disease C9orf72 Repeat Expansion _gates_from_c9orf72_repeat_expansion Dipeptide Repeats _gates_to_dipeptide_repeats _gates_from_dipeptide_repeats VAPB protein, human
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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.