Dr. Nelofar Kureshi

Clinical Analytics & Health Systems Scientist

Within-Phenotype Socioeconomic Disparities in Cancer Detection: A Topological Data Analysis of a Population-Based Cohort


Conference paper


Nelofar Kureshi, Samina Abidi, Ellen Sweeney, Syed Sibte Raza Abidi
Artificial Intelligence in Medicine, Springer Nature Switzerland, Cham, 2026, pp. 40--44

Cite

Cite

APA   Click to copy
Kureshi, N., Abidi, S., Sweeney, E., & Abidi, S. S. R. (2026). Within-Phenotype Socioeconomic Disparities in Cancer Detection: A Topological Data Analysis of a Population-Based Cohort. In Artificial Intelligence in Medicine (pp. 40–44). Cham: Springer Nature Switzerland.


Chicago/Turabian   Click to copy
Kureshi, Nelofar, Samina Abidi, Ellen Sweeney, and Syed Sibte Raza Abidi. “Within-Phenotype Socioeconomic Disparities in Cancer Detection: A Topological Data Analysis of a Population-Based Cohort.” In Artificial Intelligence in Medicine, 40–44. Cham: Springer Nature Switzerland, 2026.


MLA   Click to copy
Kureshi, Nelofar, et al. “Within-Phenotype Socioeconomic Disparities in Cancer Detection: A Topological Data Analysis of a Population-Based Cohort.” Artificial Intelligence in Medicine, Springer Nature Switzerland, 2026, pp. 40–44.


BibTeX   Click to copy

@inproceedings{kureshi2026a,
  title = {Within-Phenotype Socioeconomic Disparities in Cancer Detection: A Topological Data Analysis of a Population-Based Cohort},
  year = {2026},
  address = {Cham},
  pages = {40--44},
  publisher = {Springer Nature Switzerland},
  author = {Kureshi, Nelofar and Abidi, Samina and Sweeney, Ellen and Abidi, Syed Sibte Raza},
  booktitle = {Artificial Intelligence in Medicine}
}