Nicole Vasilevsky

Career Trajectory

Research Cluster Map

Direct collaborators. Node size = influence, colour = community, dashed = past collaboration.

• Which Rare Diseases Are Best Suited to Diagnostic AI? A Systematic Selection Framework

  Zenodo (CERN European Organization for Nuclear Research) · 2026-06-03

• monarch-initiative/mondo: v2026-06-02

  Zenodo (CERN European Organization for Nuclear Research) · 2026-06-02

• The Cell Ontology in the age of single-cell omicsPreprint

  Scientific Data · 2026-04-24

• Which Rare Diseases Are Best Suited to Diagnostic AI? A Systematic Selection Framework

  Zenodo (CERN European Organization for Nuclear Research) · 2026-04-10

• Development of self-phenotyping tools to empower patients and improve diagnostics

  EBioMedicine · 2025-10-30 · 1 citations

• Mondo: integrating disease terminology across communities

  Genetics · 2025-10-06 · 14 citations

• The Vertebrate Breed Ontology: Toward Effective Breed Data Standardization

  Journal of Veterinary Internal Medicine · 2025-05-25 · 2 citations

• Characterizing Long COVID: Deep Phenotype of a Complex Condition

  UNC Libraries · 2025-05-13

• The Unified Phenotype Ontology : a framework for cross-species integrative phenomics

  Genetics · 2025-03-01 · 10 citations

• The ClinGen Syndromic Disorders Gene Curation Expert Panel: Assessing the clinical validity of 111 gene-disease relationships

  Genetics in Medicine Open · 2025-01-01

• The ClinGen Syndromic Disorders Gene Curation Expert Panel: Assessing the Clinical Validity of 111 Gene-Disease RelationshipsPreprint

  medRxiv · 2024-11-20 · 1 citations

• The Unified Phenotype Ontology (uPheno): A framework for cross-species integrative phenomicsPreprint

  bioRxiv (Cold Spring Harbor Laboratory) · 2024-09-22 · 3 citations