GeneAId
GeneAId provides clinical-grade AI tools for genetic medicine, helping clinicians classify genetic variants and streamline genetic testing workflows. Its core Variant Intelligence Engine, trained on over 2.95 million ClinVar records, classifies variants as benign or pathogenic with explainability and plain-language interpretation notes. A companion Clinical Workflow Assistant guides geneticists through test selection and standards-aligned report structuring.
- Artificial Intelligence
- Digital Health
- Healthcare Technology
- Software Only
Funding
Founders
Product
Problem
Genetic variant interpretation is a complex, time-consuming process that requires clinicians to cross-reference vast amounts of genomic data, often leading to delays in diagnosis and inconsistent classification outcomes. Many geneticists also struggle to select the appropriate tests based on patient phenotype and to structure findings into standards-aligned clinical reports, creating bottlenecks in the diagnostic workflow.
Solution
GeneAId provides an AI-powered intelligence layer for genetic medicine, offering two integrated tools that support clinicians from test selection through variant classification and reporting. The Variant Intelligence Engine classifies genetic variants into standard categories—Benign, Likely Benign, Likely Pathogenic, or Pathogenic—using a model trained on over 2.95 million real clinical records from ClinVar, the NCBI/NIH canonical database. It handles class imbalance, delivers explainability at the individual variant level, and generates plain-language clinical interpretation notes alongside each prediction. The Clinical Workflow Assistant complements this by guiding geneticists to request appropriate tests based on phenotype and clinical context, then helps structure accurate, standards-aligned findings reports once results are available.
Target Audience
Primary users are clinical geneticists, molecular pathologists, and genetic counselors working in diagnostic laboratories and hospital genetics departments who need efficient, accurate variant interpretation and streamlined reporting workflows.
Features
- Core AI model trained on 2,950,000+ real clinical variant records from ClinVar, the NCBI/NIH canonical genomic database
- Variant classification into Benign, Likely Benign, Likely Pathogenic, or Pathogenic categories with handling of class imbalance
- Explainability at the individual variant level, providing transparent reasoning for each classification
- Automatic generation of plain-language clinical interpretation notes alongside each prediction
- Clinical Workflow Assistant that recommends appropriate genetic tests based on phenotype and clinical context
- Structured, standards-aligned findings report generation to bridge the gap between suspicion and final clinical documentation