Towards better lives for normal people.

We’re a nonprofit coalition of researchers using AI to understand how biology works and turn that understanding toward cures that help normal people, starting with diabetic peripheral neuropathy.

Diabetic peripheral neuropathyConceptual nerve illustration

Extraordinary tools,
for ordinary lives.

We believe a deeper understanding of biology can change what is possible for people living with neurological disease.

Our coalition uses AI to build explanations of biology that are interpretable, quantitative, and grounded in how living systems work. We connect clear reasoning with measurable predictions, working toward prevention, treatment, and cures. Our current focus is diabetic peripheral neuropathy, a form of nerve damage associated with diabetes.

What guides our work

Understand the damage,
find a way forward.

Why diabetic neuropathy?

Before damage begins.

Which changes in diabetes could set nerve injury in motion? We trace the steps from an initial exposure to physical damage and ask where prevention could make a difference.

Protect what remains.

What keeps injury progressing, and what helps a nerve withstand it? We examine the balance between damage, cellular maintenance, and the capacity to compensate.

Make recovery possible.

What would it take for damaged nerves to recover? We investigate how new nerve endings could grow, remain connected, and restore lasting function.

Accelerate the search,
follow the evidence.

Through DPN Explorer, we break complex biological explanations into testable claims, put numbers to the mechanisms, and revise our confidence as the evidence develops.

How we investigate
  1. 01

    Define the claim

    State exactly what might cause what, in which cells or people, and over what timescale. Identify the measurable change that would make the answer meaningful.

  2. 02

    Decompose the mechanism

    Break the explanation into its necessary biological steps. Map alternative routes, interactions, and what must hold true for the whole argument to work.

  3. 03

    Quantify and test

    Use data and computation to estimate rates, effects, and uncertainty. Check physical constraints and test predictions that distinguish competing explanations.

  4. 04

    Revise with the evidence

    Update the full explanation as each result arrives. Make remaining uncertainty explicit and pursue the next test that could meaningfully change our understanding.

Better futures start
with better questions.

Join a coalition working to understand biology and build a future without neurological disease.

Get in touch