FDNA’s Face2Gene technology is now being used by more than 70% of clinical geneticists at over 2,000 institutions in 130 countries.
It was an exciting 2018 for FDNA, as we continued on our path to bring AI-based phenotyping technologies to clinicians, researchers, and labs globally. Take a look below for a recap of what the FDNA team was up to in 2018.
Events & Presentations
- Dr. John Carey & Dr. Christine Stanley – Redefining Phenotyping for Clinical Advancements & Variant Prioritization
- PMWC Duke – Personalizing Medicine with Artificial Intelligence and Facial Analysis
- PMWC Michigan – Big data, next-generation phenotyping, and the possibilities for precision medicine
- Stanford Medicine Big Data In Precision Health – AI in Healthcare: Separating the Hype from the Hope
- Demand Solutions Mexico – Designing A Healthy Society: Facial Recognition Enables Precision Medicine
- HIMSS – Greenwood Genetic’s Journey: Partnering to Improve Precision Medicine
- ePharma – Using Next-Generation Phenotyping for Precision Medicine Across the Pharma Value Chain
- Dr. John Carey at ACMG – Delineating Genetic Syndromes and Next-Generation Phenotyping
- Dr. Christine Stanley at ACMG – Face2Gene LABS at WuXi NextCODE: Phenotyping for Improved Variant Prioritization
- Dr. Karen Gripp at ACMG – Face2Gene RESEARCH for Deep Phenotyping of Novel Syndromes
- Re:Work – The Road to Precision Medicine: Balancing Ethics and Efficiency
- ThinkGenetic & FDNA – The Genomics Collaborative: How to Design the Future of Health—Together
Watch All Webinars & Presentations>> | Read More on FDNA Insights>>
In The News
- The Boston Globe – Facial Recognition Zeros in on Genetic Disorders
- Jerusalem Post – From Facebook Facial Recognition to Genetic Disease Identification
- FierceBiotech – AI and Facial Diagnosis Company FDNA Sets Up Genomics Coalition
- Vogue – Why Our Faces are the New Social Currency
- Financial Times – Computer Vision: How Israel’s Secret Soldiers Drive its Tech Success
- Forrester – Augmented Intelligence Unlocks the Intelligence in AI
- Massachusetts Lawyers Weekly – AI in Healthcare: What You Need to Know
- LDV Capital – Nine Sectors Where Visual Technologies Will Improve Healthcare by 2028
- The Moneyball Medicine Podcast – Dekel Gelbman and How Machine Learning is Changing Rare Disease Diagnosis
- Electronic Health Report – Healthcare’s Most Pressing Problems, According to its Leaders (Part 3)
- Diagnostics World – What Facial Analysis Can Do for Rare Disease Diagnosis
- AI in Healthcare – Facial Recognition App Uses AI to Help ID Genetic Disorders
- Front Line Genomics – The Future of Phenotyping: What’s Next in AI
- SCOPE – Countdown to Big Data in Precision Health: Understanding the Hype and the Hope for AI in Health Care
- Leaps Magazine – This App Diagnoses Rare Genetic Disorders from a Picture
DeepGestalt In The News
- CNN – AI technology can identify genetic diseases by looking at your face, study says
- CBS – Could Artificial Intelligence Help Detect Rare Diseases Just By Looking At Faces?
- Nature – AI Face-Scanning App Spots Signs of Genetic Disorders
- The Economic Times – Click click snap: One look at patient’s face, and AI can identify rare genetic disorders
- The Jerusalem Post – Facial Recognition Technology Highly Beneficial in Genetic Medicine
-
Becker’s Hospital Review – An Algorithm Can Detect Genetic Conditions From Just a Photo
- Der Spiegel – Artificial intelligence recognizes rare hereditary diseases via the face
- La Repubblica – Experience the app that recognizes rare genetic diseases from pictures of the face
See All of FDNA In The News>>
Publications
- Gurovich Y, et. al. Identifying rare genetic syndromes using deep learning Nature Medicine
- Pantel JT, et. al. Advances in computer-assisted syndrome recognition by the example of inborn errors of metabolism J Inherit Metab Dis
- Martinez-Monseny A, et al. From gestalt to gene: early predictive dysmorphic features of PMM2-CDG J Med Genet
- Amudhavalli SM, et. al. Further delineation of Aymé‐Gripp syndrome and use of automated facial analysis tool Am J Med Genet
- Vorravanpreecha N, et. al. Studying Down syndrome recognition probabilities in Thai children with de‐identified computer‐aided facial analysis American Journal of Medical Genetics Am J Med Genet
- Jiang Y, et. al. The phenotypic spectrum of Xia‐Gibbs syndrome Am J Med Genet
- Ferreira, CR, et. al. Recognizable phenotypes in CDG J Inherit Metab Dis
- Zarate YA, et. al. Natural history and genotype-phenotype correlations in 72 individuals with SATB2-associated syndrome Am J Med Genet
- Knaus A, et. al. Characterization of glycosylphosphatidylinositol biosynthesis defects by clinical features, flow cytometry, and automated image analysis Genome Med
See All Publications>>
Announcements
- FDNA Publishes Study in Nature Medicine Defining New Artificial Intelligence Standard in Healthcare Read More>>
- FDNA Announces 100,000 Patients’ Lives Impacted Through Face2Gene Read More>>
- FDNA Expands Leadership Team Read More>>
- Send the phenotype to the lab with Face2Gene CLINIC Learn How>>
See All Announcements>>
