Newton Tech turns video of standard movement assessments into hundreds of objective biomechanical endpoints. No new hardware. No new protocols. No study disruption.
Active across pharma drug development programs·population cohort studies·and academic research·In scientific collaboration with the Weizmann Institute of Science
Standard movement assessments collapse complex patient function into a single number or timestamp. That misses the mechanism behind the change.
In some cases they do worse than that. A patient whose timed walk improves could be responding to treatment, or they could be compensating. On a stopwatch, those look identical. In a placebo arm, that confusion is not just a measurement gap. It is a false signal that calls the trial's conclusions into question. We resolve that ambiguity.
We extract hundreds of biomechanical markers from the same video, so a trial team can distinguish genuine functional recovery from compensatory movement, using assessments already built into the study.
10MWT, 6MWT, TUG, Berg Balance, or any standard movement protocol your coordinators already run.
Stride variability, symmetry, ground contact, sway, trunk stability, joint coupling, and movement quality, extracted from the same video.
Subject-level change, cohort-level trends, compensation detection, and endpoint support, without changes to your study design.
Whether your trial already captures movement video or you're designing a new protocol, we fit into your existing workflow.
Already captured gait or movement assessments? We retrospectively analyze existing video to extract quantitative markers, establish baselines, and uncover patterns that weren't visible in the original readout. This includes rescue analysis on completed programs.
Best for: post-hoc analysis, signal exploration, rescue analysis, mechanistic insight, endpoint enrichment.
For new or ongoing trials, we help define a lightweight movement capture protocol using standard video, then deliver subject-level and cohort-level outputs designed for trial analysis.
Best for: rare disease, neurology, MSK, rehab, SCI, Parkinson's, ALS, MS, stroke, TBI, and any indication where function matters to the readout.
Engagement workflow
Capture or upload video
Extract biomechanical markers
Compare baseline to follow-up
Identify recovery vs. compensation
Deliver datasets, reports, visualizations
From standard trial video
to trial-grade mechanistic insight.
Newton Tech was engaged to conduct comprehensive biomechanical gait analysis for a Phase II drug development program. The engagement included both prospective analysis and a rescue analysis of existing trial video, revealing patterns in the movement data that standard assessments had not captured.
Our platform enabled the team to distinguish genuine functional recovery from compensatory movement strategies, a distinction that is nearly impossible to make from standard summary statistics alone, and that changed how the program's data was interpreted.
Deliverables included raw datasets, processed summaries, and subject-level visualizations, supporting both the primary readout and downstream mechanistic analyses.
"Newton Tech enabled us to distinguish genuine neural recovery from compensatory strategies."
— Director of Research
Newton Tech supports pharma teams and CROs running studies where gait, balance, mobility, motor function, or functional recovery matter to the readout. Our platform is indication-agnostic: we work across any clinical area where movement carries diagnostic or prognostic value.
Parkinson's, ALS, MS, stroke, TBI
Motor function, progression, treatment response
Recovery, compensation, gait mechanics
Mobility, stability, functional improvement
Functional capacity, gait as a systemic biomarker
Protocol support, video analysis, endpoint enrichment
We can help identify the right protocol for your indication and integrate quantitative endpoints into your existing study design, without disrupting your trial timeline.
Newton Tech also supports large-scale research cohort studies seeking objective movement characterization at scale. We are an active analysis partner on the Human Phenotype Project at the Weizmann Institute of Science, with additional deployments in progress.
Movement is one of the most information-dense biological signals in the human body. Our research quantifies what your walk actually reveals.
These findings come from video-based analysis alone, no wearables, no sensors, no additional instrumentation. They represent the most comprehensive characterization of movement as a multi-system health signal published to date.
Research conducted at the Weizmann Institute of Science. Manuscript in peer review.
Whether you're designing a new study or looking to get more from an existing assessment, we'd like to hear about your program.
Or email contact@newton-tech.net