Research that keeps health data where it belongs.
The research arm of Trenthos builds privacy-preserving technology to improve how healthcare is delivered in Australia - with patient consent at the centre, and data that never leaves the country.
Areas of focus, not finished work.
Much of the data and AI shaping healthcare was built on overseas populations. These are the directions we are building toward - research themes, honestly described, not capabilities already delivered.
Privacy-preserving machine learning
AI that learns from clinical data without that data ever being exposed or leaving its source.
Synthetic data for medical AI
Realistic, fully synthetic clinical data that supports research and software testing without real patient records.
Federated learning
Shared models trained across multiple sites, so everyone gets better tools while each site's data stays on its own premises.
Real-world evidence
Routine, consented, de-identified clinical information turned into insight that can improve care.
Clinical decision support
Tools that help clinicians make faster, better-informed decisions at the point of care.
Ophthalmic imaging analysis
How OCT, fundus photography and visual fields might surface useful signal - supporting clinical judgement, never replacing it.
Principles before products.
These commitments come first, and they are written to match the consent and privacy documents that govern how data is actually handled.
- Data stays in Australia All Trenthos infrastructure is hosted in Australian regions. Patient data does not leave the country.
- Nothing without consent Patients decide whether their de-identified information is ever used for research, and can change their mind at any time.
- De-identified by default Research is designed around de-identified data with strong privacy protections.
- Clinics are partners Clinics that take part share in the outcomes - better tools, and co-authorship on research they help make possible.
- Transparency We explain what we do in plain language, and publish our methods openly where we can.
What we're learning as we build.
The technical and regulatory realities of building healthcare technology in Australia - what works, what is harder than it looks.
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24 Jul 2026
For practices
WorkSafe VIC, SIRA NSW, the TAC and Comcare: how the report actually changes by scheme
Four personal-injury schemes, four rulebooks: different AMA Guides editions, different psychiatric instruments, different impairment thresholds. Why "the IME report" is a family of documents, not one.
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21 Jul 2026
For practices
What the MBS actually pays for in eye care, and why billing is hard
Frequency caps, referral windows, per-eye items and the multiple operation rule: why correct Medicare billing in an eye clinic is a rules-engine problem, not data entry.
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9 Jul 2026
For practices
How a medico-legal report survives cross-examination: grounding every fact to its source
A medico-legal report is evidence, and evidence gets tested. The discipline behind one that holds up: traceable facts, stated assumptions, and honest gaps.
A small team, building carefully.
Trenthos Research is founder-led and clinically informed. It is led by Dr Chun-Huei Liu, a clinically trained doctor building Trenthos and its products with a focus on responsible health technology in Australia. We would rather say less and mean it than overstate where we are.