Sarah M. Alghamdi

@computing.kau.edu.sa

Faculty of Computing and Information Technology
KAU: King Abdulaziz University



              

https://researchid.co/smalghamdi

Sarah M. Alghamdi is a faculty member in the Computer Science department at King Abdulaziz University (KAU) in Rabigh, Saudi Arabia. Sarah's research interest is in Artificial Intelligence applications in biomedical applications, specifically in leveraging biomedical ontologies to enable computational reasoning over complex biomedical data. Sarah received her B.S. degree in Computer Science and Artificial Intelligence track from KAU in 2014. She then received her M.S. in Computer Science from KAUST in 2018. Then she received her PhD in computer science from KAUST in 2023.

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science, Artificial Intelligence

42

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Improving the classification of cardinality phenotypes using collections
    SM Alghamdi, R Hoehndorf
    Journal of Biomedical Semantics 14 (1), 9 2023

  • Ontology design patterns and methods for integrating phenotype ontologies
    SM Alghamdi
     2023

  • Contribution of model organism phenotypes to the computational identification of human disease genes
    SM Alghamdi, PN Schofield, R Hoehndorf
    Disease models & mechanisms 15 (7), dmm049441 2022

  • Machine Learning with Biomedical Ontologies
    S Alghamdi, R Hoehndorf, M Kulmanov, S Toonsi, F Zhapa-Camacho
    International SWAT4HCLS Conference 2022

  • A-lion-alignment learning through inconsistency negatives of the aligned ontologies
    SM Alghamdi, F Zhapa-Camacho, R Hoehndorf
    CEUR-WS 2022

  • Ontological analysis of collection improves classification of cardinality phenotypes
    S Alghamdi, R Hoehndorf
     2022

  • First person–Sarah Alghamdi
    S Alghamdi
     2022

  • bio-ontology-research-group/mo-phenotype-analysis: Model organism phenotypes contribution in predicting gene disease associations
    SM Alghamdi, PN Schofield, R Hoehndorf
    Github 2021

  • bio-ontology-research-group/mowl: mOWL: Machine Learning library with Ontologies
    F Zhapa-Camacho, M Kulmanov, R Hoehndorf, SM Alghamdi, C Jahn, ...
    Github 2020

  • Hyaline arteriolosclerosis in 30 strains of aged inbred mice
    TK Cooper, KA Silva, VE Kennedy, S Alghamdi, R Hoehndorf, ...
    Veterinary pathology 56 (5), 799-806 2019

  • Nail abnormalities identified in an ageing study of 30 inbred mouse strains
    SC Linn, AM Mustonen, KA Silva, VE Kennedy, BA Sundberg, ...
    Experimental dermatology 28 (4), 383-390 2019

  • Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies
    SM Alghamdi, BA Sundberg, JP Sundberg, PN Schofield, R Hoehndorf
    Scientific reports 9 (1), 4025 2019

  • Ontology Design Patterns for Combining Pathology and Anatomy: Application to Study Aging and Longevity in Inbred Mouse Strains
    SM Alghamdi
     2018

  • Nail lesions in 30 old inbred mouse strains
    SC Linn, AM Mustonen, KA Silva, VE Kennedy, BA Sundberg, ...
    Elsevier BV 2018

  • bio-ontology-research-group/mpath-ma: Code used to evaluate combinations of MPATH and MA
    BA Sundberg, JP Sundberg, PN Schofield, R Hoehndorf, SM Alghamdi
    Github 2018

MOST CITED SCHOLAR PUBLICATIONS

  • Quantitative evaluation of ontology design patterns for combining pathology and anatomy ontologies
    SM Alghamdi, BA Sundberg, JP Sundberg, PN Schofield, R Hoehndorf
    Scientific reports 9 (1), 4025 2019
    Citations: 18

  • Nail abnormalities identified in an ageing study of 30 inbred mouse strains
    SC Linn, AM Mustonen, KA Silva, VE Kennedy, BA Sundberg, ...
    Experimental dermatology 28 (4), 383-390 2019
    Citations: 8

  • Contribution of model organism phenotypes to the computational identification of human disease genes
    SM Alghamdi, PN Schofield, R Hoehndorf
    Disease models & mechanisms 15 (7), dmm049441 2022
    Citations: 6

  • Hyaline arteriolosclerosis in 30 strains of aged inbred mice
    TK Cooper, KA Silva, VE Kennedy, S Alghamdi, R Hoehndorf, ...
    Veterinary pathology 56 (5), 799-806 2019
    Citations: 4

  • A-lion-alignment learning through inconsistency negatives of the aligned ontologies
    SM Alghamdi, F Zhapa-Camacho, R Hoehndorf
    CEUR-WS 2022
    Citations: 3

  • Ontology design patterns and methods for integrating phenotype ontologies
    SM Alghamdi
     2023
    Citations: 1

  • bio-ontology-research-group/mo-phenotype-analysis: Model organism phenotypes contribution in predicting gene disease associations
    SM Alghamdi, PN Schofield, R Hoehndorf
    Github 2021
    Citations: 1

  • bio-ontology-research-group/mpath-ma: Code used to evaluate combinations of MPATH and MA
    BA Sundberg, JP Sundberg, PN Schofield, R Hoehndorf, SM Alghamdi
    Github 2018
    Citations: 1