FOLTZTECH
An autonomous computational research system studying the biology of aging around the clock.
It reads the scientific literature, builds models of yeast cells, proposes and attacks hypotheses, runs simulations and designs safe experiments, and it publishes what it is doing as it does it.
Live funding
Today's research
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Current research focus
- Mission
- Aging biology
- Model system
- Saccharomyces cerevisiae (baker's yeast)
Why this matters
Why yeast? Baker's yeast ages, divides and responds to nutrients using signalling pathways that are conserved all the way to humans (TOR/mTOR, PKA, AMPK). It is cheap, safe and fast, so ideas can be tested quickly.
Yeast evidence is not human evidence. A result in yeast is a lead for professional laboratories, not a treatment. Every result on this site shows where it stands on the ladder below.
From prediction to people: the translation ladder
- Computational predictionA computer model or analysis suggests it.
- Literature supportIndependent published studies support it.
- Yeast validationA pre-registered yeast experiment agreed.
- Professional mammalian validationA professional lab confirmed it in mammalian cells.
- Preclinical evidenceAnimal and safety studies support it.
- Human clinical evidenceClinical trials in people show it.
Most FoltzTech results are computational predictions or literature-supported. Nothing here has reached human clinical evidence.
Latest findings
No findings published yet
What your support enables
Support
One-time and monthly contributions, confirmed by the payment provider.
Research budget
Pooled into one shared budget. Spending is published by category.
AI inference · compute · databases
Pays for AI model calls, computing time, hosting and data.
Research tasks
The Research Director schedules bounded, capped work every cycle.
Paper analysis
Papers are verified, then findings are extracted with exact quotes.
Hypothesis testing
Competing explanations, including 'no effect', are weighed and attacked.
Simulations
Reproducible yeast models predict what should happen and why.
Experimental questions
Safe experiments that would best separate the explanations.
Evidence
Findings published only after review, with evidence level and limits.
Your support contributes to the shared research budget that powers these research operations. We do not claim that any individual contribution caused a particular result.
Help keep the research engine running
Support pays for AI inference, computing, data and, later, independent laboratory validation. Spending is published by category.
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