Clinical Labs

Sustain high throughput genomic analysis and interpretation with an AI-optimized workflow tightly integrated into a full-featured clinical workbench.

Clinical Labs

Sustain high throughput genomic analysis and interpretation with an AI-optimized workflow tightly integrated into a full-featured clinical workbench.

Clinical Labs

Sustain high throughput genomic analysis and interpretation with an AI-optimized workflow tightly integrated into a full-featured clinical workbench.

Empowering geneticists with cognitive genomic intelligence

Pinpoints causative variants

Machine learning algorithms provide a shortlist of causative variants. In a joint study of 180 cases (trios and singletons) with Baylor Genetics, 96% were successfully solved by the algorithm.

The algorithms rely on features typically used by geneticists to interpret cases.

Pinpoints causative variants

Machine learning algorithms provide a shortlist of causative variants. In a joint study of 180 cases (trios and singletons) with Baylor Genetics, 96% were successfully solved by the algorithm.

The algorithms rely on features typically used by geneticists to interpret cases.

See the evidence

AI in medicine shouldn’t be a black box. Our platform includes explainable AI models that show the evidence for every variant identified, including the links to the literature and databases.

Save time by automating the research needed to solve your case.

Bringing novel knowledge to your patient case
Curates literature
Reads unstructured and structured data from the literature. Data is normalized and made available for analysis in our knowledge graph, following a layer of scientific review.
30%
Unique gene-disease connections
40%
Entities connected to publication
Builds knowledge
The AI knowledge graph codifies the complex and continuously updated web of variants, genes, mechanisms and phenotypes that lie at the heart of the interpretation process. Contains information from literature and dozens of public databases, including animal models and pathways.
85K
Entities
330K
Connections
Automate reanalysis
Automate large scale reanalysis of past open cases with highly precise machine learning models that identify which cases can be solved today.
100%
Precision
50%
Recall
Bringing novel knowledge to your patient case
Extracts phenotypes
Identifies HPO terms in any kind of clinical note, handwritten or typed. Achieves high true positive rate, while maintaining low false positives.
98%
Precision
82%
Recall
Curates literature
Reads unstructured and structured data from the literature. Data is normalized and made available for analysis in our knowledge graph, following a layer of scientific review.
30%
Unique gene-disease connections
40%
Entities connected to publication
Builds knowledge
The AI knowledge graph codifies the complex and continuously updated web of variants, genes, mechanisms and phenotypes that lie at the heart of the interpretation process. Contains information from literature and dozens of public databases, including animal models and pathways.
85K
Entities
330K
Connections
Automate reanalysis
Automate large scale reanalysis of past open cases with highly precise machine learning models that identify which cases can be solved today.
100%
Precision
50%
Recall
Bringing novel knowledge to your patient case
Pinpoints causative variants
Provides a shortlist of causative variants likely to solve the case, along with supporting evidence from the literature and databases
96%
Recall
96%
Recall
It takes diligence to identify a single causative variant among hundreds.
It takes Emedgene to do it 50 times a day.
It takes diligence to identify a single causative variant among hundreds.
It takes Emedgene to do it 50 times a day.
The workbench for your workflow
  • Automated ACMG Tagging

    Review variant classification using automatically generated ACMG tags.

  • SOP Filters

    Review variant classification using automatically generated ACMG tags.

  • Streamlined Workflow

    Review variant classification using automatically generated ACMG tags.

  • Local DB

    Review variant classification using automatically generated ACMG tags.

Headline Here
  • Automated ACMG Tagging

    Review variant classification using automatically generated ACMG tags.

  • SOP Filters

    Review variant classification using automatically generated ACMG tags.

  • Streamlined Workflow

    Review variant classification using automatically generated ACMG tags.

  • Local DB

    Review variant classification using automatically generated ACMG tags.

The workbench for your workflow
  • Automated ACMG Tagging

    Review variant classification using automatically generated ACMG tags.

  • SOP Filters

    Review variant classification using automatically generated ACMG tags.

  • Streamlined Workflow

    Review variant classification using automatically generated ACMG tags.

  • Local DB

    Review variant classification using automatically generated ACMG tags.