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NCT04709965
Evaluating Face-Recognition Technology in Syndrome Diagnosis
NA trial testing Face2Gene in Multiple Anomalies in 111 participants. Completed in 25 November 2020.
25 November 2020
Quick facts
| Lead sponsor | Manchester University NHS Foundation Trust |
|---|---|
| Phase | NA |
| Status | Completed |
| Study type | INTERVENTIONAL |
| Allocation | non randomized |
| Design | parallel |
| Masking | none |
| Primary purpose | diagnostic |
| Enrollment | 111 |
| Start date | 30 January 2018 |
| Primary completion | 25 November 2020 |
| Estimated completion | 25 November 2020 |
| Sites | 1 location across United Kingdom |
Drugs / interventions tested
- Face2Gene
Conditions studied
- Multiple Anomalies — all drugs for Multiple Anomalies →
- Dysmorphic Features — all drugs for Dysmorphic Features →
- Inborn Errors of Metabolism — all drugs for Inborn Errors of Metabolism →
Sponsor
Manchester University NHS Foundation Trust
Who can join
8 Months and older, any sex, with Multiple Anomalies or Dysmorphic Features. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Birth defects are relatively common, occurring in 1 in 40 live born babies. They can be single, or multiple. They may occur as part of multiple malformation syndromes, often in association with growth disturbance or intellectual disability. Over 7000 rare syndromes have been identified. Thus, though they are rare they are collectively important. Understanding how a multiple malformation syndrome came about, defining what investigations and health surveillance is needed for affected children and identifying whether there is a treatment is very important for parents and professionals caring for affected children and also for genetic counselling of their extended families, since the majority will have a genetic basis. Diagnosis of these rare disorders is therefore important,but as many syndromes are rare this can be extremely difficult and requires specialist knowledge, many investigations and many hospital appointments. This study aims to determine whether using face-recognition software can improve diagnosis of rare syndromes when used in addition to current routine practice.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT04709965
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Related trials
Other Manchester University NHS Foundation Trust trials
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04709965 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Manchester University NHS Foundation Trust
- Last refreshed: 14 January 2021
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04709965.
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