Your health Data's hidden patterns: can they predict what happens next?
NCT ID NCT07812831
First seen Sep 10, 2026 · Last updated Sep 11, 2026 · Updated 1 time
Summary
Researchers are running a long-term observational study to see whether changes in clinical measurements over time can predict meaningful patient outcomes better than a single snapshot. The study will enroll about 1,000 adults and follow them, collecting routine clinical data, lab results, imaging, and digital health information. By analyzing patterns such as rate of change, variability, and recovery after events, the team hopes to learn if these temporal features add predictive value beyond one-time measurements.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If the approach works, doctors could one day use a patient's health trends over time to spot problems earlier or tailor care more precisely.
- What could go wrong
- This is an observational study, so it cannot prove that tracking patterns causes better outcomes. The findings may not apply broadly, and the long timeline means results will take years to emerge.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 1,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Sep 2026
- Expected to finish
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Sep 2076
An estimate. End dates often move.
- Lead sponsor
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A company
The lead sponsor is a pharmaceutical, biotech, or medical-device company.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population will consist of adults aged 18 years and older, including individuals with and without established medical conditions. Participants will be followed longitudinally to characterize individualized clinical trajectories and temporal dynamics using available clinical, physiologic, laboratory, imaging-derived, patient-reported, and remote or digital health information as permitted by the protocol. The population is intended to support evaluation of temporal biomarkers, longitudinal patterns, clinical trajectory features, and time-dependent associations with clinically meaningful outcomes.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Adults aged 18 years or older. * Able and willing to provide informed consent, when informed consent is required by the approved study protocol and applicable regulations. * Willing and able to participate in longitudinal collection or evaluation of clinical, physiologic, laboratory, imaging-derived, patient-reported, or remote/digital health information as applicable to the study protocol. * Ability to complete the protocol-defined follow-up schedule or provide sufficient longitudinal observations for analysis. * Individuals with or without established medical conditions may be eligible, provided their participation is consistent with the study protocol. * Availability of sufficient baseline information or measurements to establish an individualized reference state when required for the applicable analysis. Exclusion Criteria: * Inability to provide informed consent when consent is required and no legally authorized representative process is applicable. * Inability to comply with protocol-defined data collection or follow-up requirements. * Circumstances that, in the judgment of the investigator, would prevent reliable longitudinal data collection or interpretation. * Enrollment in another research protocol that would materially interfere with participation or interpretation of the outcomes, when applicable. * Any other exclusion criterion specifically identified in the IRB/ethics-approved protocol.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
The full official record for this study. This one lists no contact details, but it is the first place any would appear.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Truway Health, Inc.
New York, New York, 10016, United States
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