Clinical Study

Clinical Study Performance Report

An exploratory, prospective, single centre method comparison study between Synovo's Digital Disease Activity Score (DDAS) and the DAS28, the clinical reference standard used in rheumatology clinics worldwide, conducted at the Aap Ka Clinic Research Centre, Lahore, Pakistan. The dataset covers 113 paired assessments from 61 participants across the full disease activity spectrum, with 31 participants followed across two or more visits to test tracking over time.

Nick Hughes and Dr Nasir KhanAuthors
Version 4.1.2Issued 22 July 2026
113 paired assessments61 participants
Exploratory single centre validation completeIndependent and multi centre validation ongoing
Aap Ka Clinic Research CentreLahore, Pakistan
r = 0.94
Pearson correlation with DAS28, 95% CI 0.92 to 0.96
0.99
Slope, near one to one, intercept 0.07
90.4%
Direction agreement, 47 of 52 follow up transitions
452
Videos processed, none excluded

Overview

Synovo has completed an exploratory single centre study comparing its Digital Disease Activity Score with the DAS28 clinical reference standard, conducted at the Aap Ka Clinic Research Centre, Lahore, Pakistan under that clinic's IRB, approved 21 October 2025. It was not an NHS study; the Bedfordshire NHS clinical audit is a separate activity. The dataset spans 113 paired assessments from 61 participants across remission, low, moderate and high disease activity. Thirty participants attended once and 31 attended twice or more, giving 52 within patient transitions to test whether the score can track real world disease progression and treatment response.

The result is clear. The DDAS now produces clinician grade disease activity scores from a smartphone, with statistical performance that meets the threshold for clinical equivalence and longitudinal performance that matches in clinic monitoring point for point.

Key findings

Correlation

Pearson r of 0.94, 95% confidence interval 0.92 to 0.96, and R squared of 0.89 between DDAS and DAS28. Spearman rank correlation of 0.93 and an intraclass correlation of 0.94 confirm the same relationship without assuming a linear form.

Slope

The best fit line is DDAS = 0.99 x DAS28 + 0.07. A slope of 0.99 with an intercept of 0.07 means the two scores sit on the same scale and move together at the same rate, with no scaling or calibration required.

Interpretation. In the earlier pilot the slope was compressed, capturing the right pattern at a different magnitude. With balanced sampling and a refined algorithm, the digital and clinical scores have now converged. The practical implication is significant: a remote smartphone assessment can produce a disease activity score that a rheumatologist reads with the same framework they use today, with no retraining and no parallel scoring system.

Figure 1. Correlation between DAS28 and DDAS across all 113 paired assessments
Each point is one paired assessment across all disease activity levels, with the line of best fit.
Scatter plot of DDAS against DAS28 with best fit line
r = 0.94 PearsonR² = 0.89slope 0.99intercept 0.070.48 mean absolute error, points113 paired assessments
A near one to one linear relationship confirms the DDAS mirrors DAS28 directly across remission, low, moderate and high disease activity bands.

Longitudinal validation: follow up accuracy

A correlation at a single visit shows the score reads disease activity correctly. A correlation across follow up visits shows whether the system can monitor patients between appointments, which is the question that matters for clinical adoption.

Thirty one participants were assessed across two or more follow up visits, giving 52 within patient transitions where both DAS28 and DDAS were recorded.

The standard NHS rheumatology pathway sees patients every 3 to 6 months. Between appointments, flares are missed and treatment effect is estimated rather than measured. The DDAS fills that gap, letting a clinician see whether a patient is improving or deteriorating with the same directional certainty as an in clinic visit. For investors, this is the difference between a screening tool and a monitoring platform.

Figure 2. DDAS follow up appointment accuracy
Patient trajectories across visits, change tracking of digital against clinical change, and direction agreement per patient.
Follow up accuracy: trajectories, change tracking, and per patient direction agreement
31 participants52 transitions90.4% direction agreement97.1% where DAS28 moved 0.6 or moreR² = 0.85 change tracking
Solid lines are clinical DAS28, dashed lines are digital DDAS. The change tracking panel sits along the line of perfect tracking. Most participants reach full directional concordance, and the mismatches, marked in red, occur where the clinical score barely moved.

Agreement and banding

Correlation shows the two scores move together. Agreement shows whether a clinician can read the digital score on the thresholds they already use.

Bland and Altman analysis gives a mean bias of 0.02 points, 95% confidence interval -0.09 to +0.14, with limits of agreement from -1.18 to +1.22. A bias this close to zero means the DDAS does not systematically read high or low against DAS28. The mean absolute error between a DDAS reading and its matched DAS28 is 0.48 points, with a median of 0.38.

Figure 3. Bland and Altman agreement between DDAS and DAS28
The difference between each paired reading plotted against the average of the two, with the mean bias and the limits of agreement.
Bland and Altman plot of the difference between DDAS and DAS28 against their average
0.02 mean bias-1.18 to +1.22 limits of agreement106 of 113 within the limits, 94%0.94 intraclass correlation
The points scatter evenly above and below a mean bias of effectively zero, with no widening at higher scores, and 106 of the 113 differences fall inside the limits of agreement. The digital score neither drifts nor loses precision as disease activity rises.

Vision model performance

The model underpinning Synovo's motion analysis engine, built with proprietary in house vision models, detected and tracked joint landmarks across all test videos for the joint analysis and range of motion calculation that feed the DDAS. The figures below describe how the pipeline performed operationally. This study did not validate the vision model against an annotated ground truth reference, so they are measures of processing reliability, not of measurement accuracy.

452 videos processed 0 excluded for quality 96% mean per frame landmark confidence, internal measure
Figure 4. AI based joint tracking during a digital assessment
Digital DAS results with live joint tracking overlay on a guided movement
Live analysis of patient movement. Automated joint overlays mark each joint and limb trajectory as the patient performs a guided movement, tracked frame by frame to quantify range of motion, stiffness and asymmetry.

Implications for clinical systems

Patient convenience

At home monitoring through a simple video capture and questionnaire. No travel, no waiting rooms, no time off work and no needles.

Clinical efficiency

Frees clinician time, surfaces flares earlier, and lets teams prioritise the patients who need to be seen in person rather than reviewing everyone on a default cycle.

Healthcare system value

Scalable, cost effective monitoring for chronic rheumatology patients across NHS trusts, with a clear pathway to similar conditions where disease activity scoring drives treatment.

Earlier intervention

Continuous between visit data means treatment can change when the disease shifts, not months later at the next scheduled appointment.

Current dataset summary

Sample size113 paired assessments from 61 participants, balanced across activity levels
Correlation to DAS28Pearson r 0.94, 95% CI 0.92 to 0.96, R squared 0.89, Spearman 0.93, ICC 0.94 (95% CI 0.92 to 0.96)
Trend slopeDDAS = 0.99 x DAS28 + 0.07
Longitudinal validation31 participants across follow up visits, 90.4 percent direction agreement, 47 of 52 transitions
AgreementMean bias 0.02 (95% CI -0.09 to +0.14), limits of agreement -1.18 to +1.22, mean absolute difference 0.48 points, median 0.38, RMSE 0.61
Band agreement78.8 percent exact across four bands, 98.2 percent within one band
Vision pipeline452 videos processed, none excluded, 96 percent mean per frame landmark confidence as an internal measure
Study periodOctober 2025 to July 2026, single centre
Study siteAap Ka Clinic Research Centre, Lahore, Pakistan. Ethics: Aap Ka Clinic IRB, approved 21 October 2025. Not an NHS study.
ModelDDAS, locked version 1.1.2

Next steps for validation

With the exploratory single centre study complete, the focus shifts to independent and multi centre validation and to regulatory progression. The following are planned.

Items above are planned activities and targets. They are not current certifications or completed deployments.

Conclusion

With a Pearson correlation of 0.94, a near one to one slope, a mean bias of effectively zero and direction agreement of 90.4 percent overall, rising to 97.1 percent where the clinical score moved meaningfully, the DDAS demonstrates the consistency required for clinical use. It delivers a clinician grade disease activity score from home based assessments, reducing dependence on blood tests and in person evaluations while supporting earlier intervention and lower per patient monitoring costs.

Status. Exploratory single centre validation complete. Independent and multi centre validation ongoing.

A formatted copy of this report is also held as a PDF in the data room.

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Synovo Clinical Study Performance Report. Confidential. Prepared for prospective investors and clinical partners.