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2018 Year in Review

January 13, 2019

By Molly Shuttlesworth

2018,Face2Gene
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.

FDNA’s Face2Gene technology is now being used by more than 70% of clinical geneticists at over 2,000 institutions in 130 countries.

 

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
  • Futurism – This AI Identifies Genetic Disorders by Looking at Face Shape
  • 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>>

 

More entries about 2018

Face2Gene
 

Extracting Features From Clinical Notes

DID YOU KNOW: By adding clinical features to your cases in Face2Gene, you increase the possible syndrome matches to 7,000+. NEW: Include features Read more

Face2Gene
 

2018 Year in Review

It was an exciting 2018 for FDNA, as we continued on our path to bring AI-based phenotyping technologies to clinicians, Read more

Events/Conferences
 

What to Do and See at ASHG 2018

San Diego, CA – The FDNA team is excited to be back at the American Society of Human Genetics (ASHG) Read more

2018
 

The Genomics Collaborative: How to Design the Future of Health—Together

  ThinkGenetic recently hosted a panel discussion among researchers involved in the Genomics Collaborative, an FDNA initiative connecting researchers, clinicians, Read more

ACMG
 

Dr. Christine Stanley: Face2Gene LABS at WuXi NextCODE: Phenotyping for Improved Variant Prioritization

Note: This talk was presented at the 2018 ACMG annual meeting. The video can be seen below, or at this link> Read more

ACMG
 

Dr. John Carey: Delineating Genetic Syndromes and Next-Generation Phenotyping

Note: This talk was presented at the 2018 ACMG annual meeting. The video can be seen below, or at this Read more

ACMG
 

Dr. Karen Gripp: Face2Gene RESEARCH for Deep Phenotyping of Novel Syndromes

Note: This talk was presented at the 2018 ACMG annual meeting. The video can be seen below, or at this Read more

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