A living, biological replica of every human
We are building a replica of each person’s biology: living tissues, organs and cells that respond to a medicine the way that person’s own would. We use it to find better medicines for chronic disease, starting with medicines from plants.
The problem
Why chronic disease resists today’s medicine
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Disease treated as one number
Chronic disease is an ecosystem of interacting pathways, yet treatment usually targets a single marker.
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Medicine built for the average
Trials and doses are designed for populations, so the same drug helps one person and fails the next.
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Plant medicine left unproven
Remedies used for generations, including in African traditional medicine, are rarely standardised or tested.
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Preclinical models miss people
Most candidates that enter human trials fail, often because earlier models did not reflect human biology.
How it works
Start with a question. Test it on the person.
Phytomedicine and preclinical research feed one replica of the person. Every candidate is tested against that person’s biology before it moves forward.
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Question
Does cyanidin-3-glucoside from bilberry reach its active range at 500 mg?
Ask one clear question
Each program answers a narrow question, set before anything runs.
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Aegle · the twin
Research person A
- Glucose–insulin regulationRuns
- Ventricular electrophysiologyRuns
- Parameters and their sourcesOwn
Put it to one person’s twin
Each twin keeps its own parameters and their sources, so one person’s twin is not another’s.
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Cendos · the lab
Bilberry exposure protocol
- Model the exposureDone
- Compare with the measured active rangeDone
- Run the controlsDone
- Record the runDone
The lab runs it
Cendos runs the protocol with controls on every run, and records it so anyone can reopen it and run it again.
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Answer
1.41
Margin at 500 mg
The modeled peak reaches the measured active range.
Get an answer with its evidence
Every result carries its evidence, its controls and its sources, and exports as a spreadsheet or an executable notebook.
First programs
Read about the programsThe platform
Three systems. One person.
Aegle, LIFE and Cendos share one twin, so a model, a measurement and an experiment all describe the same human being.
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Aegle
The digital twin
One individualized twin per person, from molecules up to whole-body regulation.
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LIFE
Measurement from the person
Built around the LIFE Patch, a skin-worn sensing device. The patch belongs to the person, and its virtual counterpart to their twin.
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Cendos
The lab
Where predictions meet measurement. Cendos runs protocols on the twin and on genome-scale human metabolism.
In your browser
Everything happens in pages
Livemore Bio runs on your own machine and opens in your browser. Every page works on the same twin.
Atlas
The whole person, from body to organ, tissue, cell, ion channel and gene.
Twins
Create, admit and activate a person’s twin.
Cohorts
Build reproducible groups and freeze them.
Cendos Lab
Prepare, run, reopen and re-run experiments.
Biology
See a response at organ, cell and molecular level.
LIFE Patch
Bind a patch to a twin and follow the biomarker stream.
Research
Freeze a prediction, admit a measurement and compare them.
Knowledge
The scientific sources behind every model.
Roadmap
Built so far, and what comes next
Built so far
- Livemore Bio 0.1.0, released
- Mechanistic models of metabolism and the heart
- A whole-human reference framework
- First natural-product research programs
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Next release · Livemore Bio 0.2.0
Experiments in plain English
A browser app to set up and run experiments in plain English, with no terminal.
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The first physical lab experiment
One falsifiable Cendos assay, compared against a held-out measurement.
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The LIFE Patch, on the bench and on people
Hardware verified, then consented measurements paired with reference instruments.
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More of the body, made executable
Cardio-metabolic first, then renal, hepatic, endocrine and beyond.
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Treatment-free resilience
Measurable protocols for health that holds after treatment stops.
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Ready for pharmaceutical partners
Security, reviewer sign-off and a regulatory review for each intended use.
Our values
How we work
No fakes, ever
Nothing is invented to make a result look better.
Measurement decides
When data and model disagree, the data wins.
Evidence on every claim
Each result says how far it has been proven.
Consent and provenance
Every data point traces to its source, and a real person’s data to their consent.
Partner with us
Build the evidence with us
We are looking for pharmaceutical, laboratory and clinical partners.
Partner with us