Biomarkers · longitudinal data · open research

Measure biology more often.

Senzma is working toward simple, affordable tools for measuring important biomarkers repeatedly—not just once or twice a year. We're building assays, collecting longitudinal data, and exploring how better measurement can help us understand human health and poorly understood conditions such as ME/CFS.

See what we're buildingGet project updates
Now buildingLaboratory capability, our first electrochemical biomarker prototypes, and longitudinal experiments connecting biological measurements with how people actually feel and function.
The idea

From occasional snapshots to longitudinal biology.

Modern labs can measure thousands of molecules, but doing it frequently is expensive and inconvenient. Consumer devices collect millions of measurements of heart rate, sleep and activity. We want to help close the biochemical side of that gap.

01 / HOME

At-home biomarker testing

We're developing compact assays inspired by the simplicity of glucose testing, with the long-term goal of making a wider range of biological measurements practical at home.

02 / LAB

Deep measurement

Not every useful biomarker belongs on a strip. We use and evaluate established laboratory methods to explore proteins, metabolites, immune biology and other promising signals.

03 / DATA

Longitudinal research

We're especially interested in repeated measurements within the same person: what changes before symptoms, during recovery, and in response to interventions?

Our research loop

Discover deeply. Measure frequently. Learn continuously.

We don't think deep laboratory testing and inexpensive home testing are competing approaches. They can form a funnel.

DiscoverBroad laboratory measurements identify promising biology.
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ValidateTargeted assays test the strongest candidates in more people.
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FollowRepeated measurements reveal what tracks symptoms and function.
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ScaleSuitable biomarkers become candidates for simple home measurement.
Early research focus

Why does biological function change so dramatically?

ME/CFS is one of our first areas of interest because people can differ enormously in functional capacity, while the biology underlying those differences remains poorly understood.

Rather than assuming we already know the answer, we want to ask measurable questions and let data narrow the search.

01. What biological measurements best predict current functional capacity and symptom severity?

02. Which measurements change within the same person as they improve, worsen, crash or recover?

03. Which of those signals can eventually be measured cheaply and frequently outside a traditional laboratory?

Lab notebook

Building in public.

Senzma is early. We'll document what we're testing, what works, what fails, and how our thinking changes.

Building the initial laboratory

Setting up core laboratory capability and deciding which measurements are worth bringing in-house versus outsourcing.

Choosing the first home-test biomarker

Comparing candidate biomarkers by assay feasibility, usefulness when measured repeatedly, market potential, cost and relevance to early research questions.

Designing longitudinal experiments

Working toward protocols that connect biomarker measurements with symptoms, function, activity and other time-varying data.