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FDNA Inc face2gene software
Face2gene Software, supplied by FDNA Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/object-oriented+programming+software/face2gene/pm36843271-101-18-20
Average 90 stars, based on 1 article reviews
face2gene software - by Bioz Stars, 2026-10
90/100 stars

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Article Title: DeciFace: Decipher the Influence of Ethnic Backgrounds on the Facial Dysmorphic Features of Rare Mendelian Disorders
Article Snippet: In recent years, Face2Gene (FDNA Inc., Boston MA, USA) has been a novel and widely used tool to detect facial phenotype and recognize dysmorphic features from two-dimensional (2D) frontal photographs2.

Article Title: Accuracy of combining intraoral and facial scan in a single digital model of an orthodontic patient utilizing corresponding measurements on the model and on real photographs: A prospective cross-sectional study.
Article Snippet: Objectives > To validate the accuracy of integration of intraoral scan to the facial scan acquired by the EM3D application, utilising the Blue Sky Plan 4 software, creating a digital model of an orthodontic patient, by comparing the same linear measurements on real photographs and images from the digital model of the patient.. Material and methods > Thirty patients (20 females and 10 males; age range 12–30 years) undergoing orthodontic treatment with fixed appliances were recruited in this prospective crosssectional study from December 2024 to February 2025.. Five facial landmarks were marked on each patient: Tragion right, Cheilion right and left, Subnasale and Pronasale.

Article Title: Neurofibromatosis-Noonan syndrome: a prospective monocentric study of 26 patients and literature review
Article Snippet: Frontal images were analyzed using the Face2Gene ® (F2G) tool (FDNA Inc., Boston MA, USA, v.19.1.7) without any additional molecular or clinical information provided [ ].

Article Title: An Artificial Intelligence Approach to the Craniofacial Recapitulation of Crisponi/Cold-Induced Sweating Syndrome 1 (CISS1/CISS) from Newborns to Adolescent Patients
Article Snippet: We used Face2Gene (F2G, FDNA Inc., Boston, MA, USA; www.face2gene.com , accessed on 30 November 2024).

Article Title: Molecular and clinical aspects of histone-related disorders.
Article Snippet: The tool is part of Face2Gene (FDNA Inc., USA), a HIPAA-compliant platform that enables the interaction of different algorithms to analyze patients’ facial phenotypes and can be leveraged for syndrome classification (lump and splitting), phenotype delineation, and patient clustering based on facial phenotype.

Diagnostic Assay:

Article Title: Automated Evaluation of D-Score for Facial Dysmorphism Analysis in Central African Children With Developmental Disorders.
Article Snippet: Introduction: Dysmorphism is an important characteristic, but its evaluation is largely subjective.. A good clinical assessment (dysmorphism) can facilitate a more accurate and efficient diagnosis.. We therefore evaluated an automated artificial intelligence tool for facial dysmorphism, D-score, available in Face2Gene.

Methylation:

Article Title: Artificial Intelligence Software Changes Rare Disease Testing Strategy in Real Time: An International Case Series Using Face2Gene.
Article Snippet: .. Facial recognition via two- dimensional image analysis with Face2Gene (FDNA Inc., USA) technology was first validated for Cornelia de Lange syndrome (CdLS) and has shown success in identifying a broad spectrum of conditions, including those caused by single gene alterations, trinucleotide repeat expansions, copy number variations, methylation abnormalities, aneuploidy, and teratogenic exposures in diverse patient populations (BaselVanagaite et al. 2016; Ciancia et al. 2023; Feng et al. 2023; Hadj- Rabia et al. 2017; Latorre- Pellicer et al. 2020; Liehr et al. 2018; Lubala et al. 2023; Mishima et al. 2019; Valentine et al. 2017; Wadman et al. 2023; Zarate et al. 2019). ..



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