Next Generation AI-driven Tools for Genetic Variant Extraction, Visualisation and Classification
The University of Manchester
Department of Computer Science
Accurate genomic variant reporting is essential for rare disease diagnosis, yet scientific papers, clinical reports, and database submissions routinely contain erroneous variant descriptions and omit crucial clinical evidence such as ACMG scores and pathogenicity classifications. Read more
Supervisors: Dr S Pettifer, Dr PF Freeman, Dr R Batista-Navarro
Year round applications
PhD Research Project
Self-Funded PhD Students Only