Back to search results

The TIME Study: Understanding Your Body's Rhythms

The TIME Study is an observational research project looking to understand how your body's natural rhythms change over time. Researchers will collect information from blood, urine, and other samples, along with data from smartwatches and other devices. This study aims to create a detailed map of how daily and weekly changes in healthy older adults (aged 55 and older) are connected, from a molecular level to data from wearable devices. The goal is to build a dataset that could help develop more personalized healthcare in the future. This study is not testing any specific intervention or drug.

Study design
This is an observational study aiming to enroll 120 healthy adults aged 55 or older. It is not a randomized or blinded study.
What's involved
You would need to own a smartphone, attend in-person visits at the Buck Institute in Novato, CA, and wear study devices continuously. You would also allow researchers access to all your data.
Compensation
Not stated in the trial record.
Follow-up
The primary goal is to generate a dataset characterizing biorhythms over 12 months.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07107386

Temporal Investigation of Multimodal Elements

Recruiting
Not specifiedAges 55+Observational
Buck Institute for Research on Aging
~120 participants
Updated 2025-08-15 on ClinicalTrials.gov

At a glance

Recruiting sites
1 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Generation of a longitudinal multi-omic and digital health dataset characterizing biorhythms in older adults
Measured over 12 months

Conditions

Health

Explore related trials

Healthy Volunteers

NCT07107386

Where you'd take part

This study runs at 1 site. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.

  • Buck Institute

    Novato, Californiastudy coordinator listed

    Recruiting

Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.

Study leadership

  • James Yurkovich, PhD · PRINCIPAL_INVESTIGATOR · Phenome Health, The Buck Institute for Research on Aging

Who to contact

Brianna Stubbs, Research Assistant Professor, PhD.
[email protected]
(415) 209-2072
Email the study team

Opens a ready-to-send draft in your own email app — review before sending.

Want this trial checked against your situation?

Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.

Check eligibility for this trial ~2 min · HIPAA-protected · delete anytime
Eligibility criteria

Inclusion

Healthy adults aged 55 years or older.
Own a smartphone capable of running study-specific apps.
Willing and able to attend in-person visits at the Buck Institute in Novato, CA.
Reside in the Pacific or Mountain Time Zones.
Able to speak, read, and write English.
Willing to wear study devices continuously and allow researchers access to all data.
Able to provide informed consent.

Exclusion

Hospitalization within the last 3 months.
Needing assistance with daily living activities.
Working night or irregular shifts.
Certain musculoskeletal, pulmonary, or cardiovascular conditions.
Uncontrolled high blood pressure (BP \> 180/100 mmHg).
Bleeding disorders, anemia requiring treatment, or recent blood donation.
Poor vein access.
Unstable health conditions.
Chronic antibiotic use.
Certain psychiatric disorders.
Use of excluded medications, supplements, or products, including certain antibiotics or frequent sleep aids.

What this trial measures

  • Generation of a longitudinal multi-omic and digital health dataset characterizing biorhythms in older adults12 months

    Establish a publicly shareable reference dataset integrating blood-based proteomic, metabolomic, and lipidomic profiles with continuous digital health data and microbiome samples from healthy older adults over time, capturing daily, weekly, and perturbation-induced physiological dynamics.