Neurology · Neuromuscular disease

Your drug, measured.

From target engagement to function.

From patient signals to a Phase 1 decisionEEG, speech, gait and sleep signals flow into an AI engine, which produces a Phase 1 readout separating drug from placebo and a go decision.EEGSpeechGaitSleep AI links signals to biologyPhase 1 readout Placebo Drug GO ✓

Prepoint™ by Usin’Life adds AI-driven digital endpoints — EEG, speech, movement, sleep and more — to your Phase 1 and runs them end to end, so your first human study answers Phase 2’s questions.

In neurology, measurement decides trial size.

Nine in ten drugs that enter clinical trials never reach patients, and lack of efficacy is the single biggest reason. The decision usually comes at Phase 2 — the evidence that decides it should be gathered in Phase 1. [Source 1]

1,380 patients versus 336A grid of 1,380 dots representing patients needed with the standard ALS score shrinks to 336 dots with a better measurement approach.Standard total score 1,380 patients Better measurement 336 patients Same drug effect in an ALS trial simulation: 40% slowing of bulbar decline, 80% power

In a simulation of ALS trials, detecting a 40% slowing of bulbar decline required 1,380 patients with the standard total score, and 336 with a subscale-based approach. The same drug effect, measured better, needs a trial a quarter of the size. [Source 2]

Regulators are ready: in 2023, a wearable measure became the first digital endpoint qualified by the European Medicines Agency as a primary endpoint in pivotal trials. [Source 3]

Prepoint: map, measure, predict.

Prepoint Map

Early access

Is your drug measurable? An asset-level assessment for biotech leaders, investors and business development teams.

Prepoint Measure

Available now

Digital endpoints built into your Phase 1 and run end to end, from design to decision. EEG, speech, gait, activity, sleep, fine motor, eye movements and more — connected to your biomarker data.

Prepoint Predict

In development

Forecast your Phase 2 from your Phase 1: projected effect size, sample size and duration.

Built into your workflow. Judged on results.

Where it fits

Inside your own Phase 1 protocol. One accountable team covers design, devices, operations, analysis and regulatory strategy.

How it’s judged

Against criteria set before the study starts: does the signal detect change earlier than the standard endpoint, how much does it shrink the projected Phase 2, and does it support a clear go/no-go?

AI can write a report. It can’t run your study.

New data from your patients — not only what’s already published.

Execution — devices, sites, compliance and data pipelines.

A decision — a go/no-go your board and investors can act on.

Regulatory-grade validation — built to FDA’s framework for digital measures.

We’ve done this in real trials.

ALS (case study)

Speech, mobility, sleep and activity endpoints across seven international sites. Speech measures detected decline before the standard rating scale. [Publication A]

Cancer cachexia

Digital endpoints aligned with FDA and EMA in a program that advanced from Phase 1 to Phase 3. [Publication D]

FSHD

Wearable endpoints in an international muscular dystrophy trial. [Publication F]

Start with one study.

Add Prepoint Measure to the Phase 1 you’re already planning, as an exploratory endpoint — low risk, clear criteria. Your data stays yours.