HER2T Laboratories — The HER2 Twin in Reality
Artistic illustration
HER2T Laboratories

Understanding resistance. Advancing discovery.

When Cancer Stops Responding, Our Questions Don’t.

HER2T Laboratories is building a scientific intelligence to investigate why HER2-positive cancers develop treatment resistance — and to explore the biological vulnerabilities that could lead to new, more effective therapies.

HER2T Mind

Investigate. Understand. Discover.

Answers draw on the platform’s existing papers, questions and beliefs, with citations and honest confidence. Research information only — not medical advice.

The challenge

Cancers can adapt and become resistant to treatments that once worked.

Our mission

Investigate why this happens and identify new, scientifically testable strategies.

Our approach
  • Connect scientific evidence
  • Analyze biological mechanisms
  • Generate and test hypotheses
  • Advance research toward better outcomes

Transparent science. Real progress.

Every number below is a live count of the actual work done so far — nothing invented, nothing projected.

View the full picture
Papers analyzed
953
Claims extracted
5,083
Claim collisions
888
23 genuinely open
Curiosity questions
4,160
Surviving ideas
184
Mutation predictions
322
Real results
0
honest & small
Checked vs. reality
0
none confirmed yet

Understand My Cancer

Planned

A future private workspace to organize your records, explore your treatment history and discover relevant research. It is not built yet and holds no personal data.

Available now: the plain-English HER2 guide

Explore the Research

Enter the HER2T Research Lab to investigate evidence, resistance mechanisms and open scientific questions.

See the open questions

Preview the workspacesPrototype

A clickable preview of both workspaces with fictional people and a scripted Mind. Nothing is saved. Sign in or use a demo login to open them.

Scientific Evidence Intelligence

A structured approach to gather, evaluate and connect research.

Treatment Resistance Investigation

Focused on why HER2-positive cancers stop responding to therapies.

Computational Research

Molecular simulations of HER2 mechanisms. Compute is currently paused.

Personalized Understanding

Helping patients make sense of their own cancer journey.

Planned

Scientific Validation

Committed to transparency, reproducibility and expert review.

Want the full technical platform?
Lab activity

A focused research mission

Turning Questions Into Discoveries

We are developing HER2T Mind — an evolving scientific intelligence designed to examine evidence, identify knowledge gaps, investigate hypotheses, and help advance research toward better outcomes for people with HER2-positive cancers. We have not discovered a cure; we are building the tools to investigate rigorously.

Learn more about our mission

The central question

Why Do HER2-Positive Cancers Become Resistant?

Exploring the biological mechanisms, signaling pathways and molecular changes that allow cancer cells to adapt — and identifying potential vulnerabilities.

Explore the science

How HER2T works

From Evidence to Impact

The cycle of investigation we follow. Showing the method is not a claim that every step has been completed — no finding has been independently validated yet.

  1. 1. Gather evidence
  2. 2. Identify gaps
  3. 3. Develop hypotheses
  4. 4. Investigate & analyze
  5. 5. Validate findings
  6. 6. New questions
See how HER2T Mind works

Explore the Research Platform

Tools for investigating HER2 biology, treatment resistance and new possibilities.

Where we are right now

The Journey

UNDERSTAND · SIMULATE · DISCOVER

See exactly where we are and where we’re headed — a live progress bar with the milestones we’ve built and the ones ahead. This is a journey you can take with us, not a roadmap hidden away. Nothing is marked done unless you can check it yourself.

See the roadmap

Support this research — help carry HER2T from understanding to real simulation and discovery.

What’s ready to act on

Live counts
The living heartbeat
Open the full map

The Living HER2 Map

HER2 drawn as its real regions — each one filling in with everything the platform has learned. Bright means grounded knowledge; dim and dark means our understanding runs out. The dark is the point.

The end game

Find a previously unknown weakness in HER2-driven cancer — and design the decisive experiment that could test it.

The twin comes first. Every tool here — the model contests, the collision detector, the curiosity engine, the living HER2 map, the computational verifier — exists to deepen the twin’s understanding of HER2 and move one honest question up a ladder: from something nobody had framed, to a real measurement that changes what we know. That ladder is below, with the real counts right now.

1
dark
—
2
question
—
3
investigated
—
4
predicted
—
5
computed
—
6
experiment
—
7
measured
—
8
model_updated
—

Where honesty draws the line: HER2T can carry a question all the way to the decisive experiment — the single test that would settle it — and can arrange for that test to be run by a qualified laboratory or research partner. But HER2T cannot declare a physical result itself, and it never dresses up a prediction as a measurement. The last rungs, Measured and Model updated, only light up when a real experiment produces a documented, cited result. That boundary is the point: computation can propose the experiment worth running, but only reality can settle it.

Follow a question up the ladder
The Mind · new

See what the platform believes — and how sure it is

A living field of every claim it holds. Size is how much a claim matters, colour is what it currently believes, brightness is how sure it is. It sits perfectly still until real evidence moves it — then you watch the belief flare or fracture. Nothing here is on a timer; every motion is caused.

Enter the Mind

What it has learned recently

Latest model contest

Round complete. Leading on held-out evidence: Kinetic state graph (held-out 100). 0 missing-variable hypothesises raised.

See the contest
Top-ranked idea

L755-family mutants break the inactive kinase state

Browse all ideas

What would you like to do next?

Our one rule: nothing is dressed up as more certain than it is. Every fact you see is labeled by how we know it — measured, AI-predicted, simulation-sampled, or inferred — and models lose points for guessing.