DataCollection possibilities
From DNA and bloodwork to a meal photo, a voice note or a night of sleep. Combine clinical tests, device signals and everyday logs around your research question.
Illustrative study designs, not available inventory. Source access, integrations and clinical collection are scoped for each study.
Inputs to scope
Bloodwork · Clinical records · Lab panels · Repeat tests · DNA · Genotyping · Microbiome · Molecular assays · MRI · CT · X-ray · Ultrasound · Heart rate · HRV · Sleep · Activity · Temperature · Weight · Blood pressure · Glucose · SpO₂ · Audio · Transcripts · Symptoms · Guided check-ins · Photos · Video · Movement · Visual diaries · Food · Medication · Supplements · Mood · Energy · Cycle logs
8 of 15 illustrative designs · Original illustrative photography
Example / Biomarker trajectories
Connect repeat blood panels to the routines and measurements between tests.
Example / Multimodal research
Scope a cohort around permitted genetic results and linked longitudinal observations.
Example / Image-report alignment
Link an MRI or other imaging study to its report and relevant follow-up context.
Example / Time-series modeling
Pair wearable heart-rate and HRV observations with activity, rest and reported events.
Example / Language understanding
Capture guided narratives and align them to a structured symptom timeline.
Example / Visual understanding
Collect repeat recordings of a defined movement task with capture-quality checks.
Example / Multimodal extraction
Combine meal photos, spoken descriptions and timing in a repeatable food diary.
Example / Multimodal modeling
Pair device sleep summaries with next-day self-reported energy and routines.
Including temperature, weight, medication, supplements and repeat photographs.
Combine the modalities your task needs. Define the sources, cadence and follow-ups together, with each observation linked to its origin.
Start with the task. Define the collection together.
Scope a pilot