What’s new

The platform keeps growing.

A running look at what we’ve added lately — for the researchers who run studies and the patients who live them.

Just shipped

For researchersNew

Adaptive platform trials

Run a perpetual, multi-arm protocol with deterministic randomization, response-adaptive allocation inside preset guardrails, factorial domains, and a blinding firewall that keeps interim looks away from the people who shouldn’t see them.

For researchersNew

Electronic data capture + CDISC export

A versioned, audited dataset with an edit-check engine and query workflow, MedDRA/WHODrug coding, soft and hard database lock with audited unlock, and one-click CDISC SDTM + define.xml export.

For patientsNew

Pacing & readiness

A within-person heart-rate ceiling, time-over-threshold, an orthostatic-aware POTS split, and a morning readiness read from resting HR and HRV — framed as a pattern, never a prediction. Quiet by default.

PlatformNew

Real-time heart rate during assessments

Beat-by-beat heart rate through physical tests like the NASA Lean and sit-to-stand, with per-value provenance — device, manual, or corrected — that always keeps the original reading.

Also recently

For patients

Gentle investigator nudges

A coordinator can queue a one-way, templated check-in that arrives as a considerate local notification — rate-limited, never stacking, and silent when someone is unwell.

For patients

Self-trials: your own primary endpoint

Choose what matters to you as the primary measure over a duration you commit to up front, with a provisional early-signal peek that’s honest about how much your data can support.

For patients

Study results & history

A calm, within-person Green / Yellow / Red read of your own measures — never red on missing data — plus a unified history of every study and self-trial you’ve run.

Safety

Objective PEM capture

Post-exertional malaise detected from ordinary participation — check-ins plus wearable data — against a versioned, patient-anchored definition, with a tap-only enrichment flow.

For patients

Patient-led self-trials

Guided single-case (n-of-1) studies with on-device single-case experimental design and segmented-regression analytics, and an honesty layer that won’t let a hopeful trend pose as proof.

Safety

Adverse-event safety & escalation

A reporter-not-actor model so the person who notices a safety concern isn’t forced to act, with instant routing and a privacy wall between identity and clinical data.

See it all

Explore the whole platform.