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Research Areas

Computational BiologySingle-cell, bulk RNA-seq, spatial, and biomarkers
CardiologyCardiovascular signals, cohorts, and interpretationImmunologyImmune cell states, signaling networks, and repertoire dynamicsNeurologyBrain connectivity, functional imaging, and electrophysiologyOncologyTumor microenvironment, immune response, mutations, and survivalPathologyWhole-slide imaging, tissue quantification, and spatial pathology

Application

Documentation

Documentation

Back to studies

Subjects and cohorts

Cohort intelligence connects recordings to participant metadata and enables group-level comparison.

Subjects table

Navigate to Studies → Subjects (/experiments/{id}/subjects).

CSV import

Upload a subjects CSV with at minimum:

external_id,age,sex,treatment_group,diagnosis
P001,58,M,control,hypertension
P002,62,F,treated,hypertension

Extra columns (for example mace_event, followup_days) are stored as outcomes metadata for risk scoring and filtering.

Assign datasets

Link each uploaded dataset to a subject. A subject can have multiple datasets across modalities (ECG, RR, BP, PPG).

Subject hub

Click a subject to open /experiments/{id}/subjects/{subjectId}.

The hub shows:

  • Dataset cards grouped by modality
  • Multimodal timeline — relative-time overview of linked recordings
  • Cross-modal pipeline shortcuts (baroreflex, RSA)
  • Recent runs across all subject datasets
  • Signal risk index when cohort risk scoring has completed
  • Interpret and Interpret (mechanistic) when enough metrics exist

Multimodal example

  1. Link rr_p001.csv and bp_p001.csv to subject P001
  2. Run HRV on the RR dataset, Analyze BP on the BP dataset
  3. Launch Compute baroreflex from the subject hub
  4. Use mechanistic interpret for cross-domain hypotheses

Cohort comparison

Navigate to Studies → Cohort (/experiments/{id}/cohort).

Setup

  • Subjects imported and datasets linked
  • HRV (or chosen metric) completed for compared datasets — use Batch HRV if needed

Compare

  1. Choose group by field (treatment group, sex, diagnosis)
  2. Pick HRV metric (RMSSD, SDNN, LF/HF, etc.)
  3. Select statistical test
  4. Click Compare cohorts

Results

  • Box/violin chart with per-subject points
  • Summary table: group means, SDs, p-values
  • Outlier panel — subjects >2 SD from group mean
  • Export chart as PNG or PDF
  • Interpret for cohort-level narrative

Click an outlier to drill down to the subject hub, waveform, or individual HRV run.

Risk scores (research only)

Compute risk scores runs at cohort level to produce signal-derived stratification indices. Results appear on the cohort workspace and persist on subject hub cards.

This layer is for research exploration only — not clinical decision support. A research disclaimer is shown in the UI.