Phillip Farmer

Director of Cancer Informatics

Last publication 2025 Last refreshed 2026-05-16

faculty

7 h-index 32 pubs 269 cited

Biography and Research Information

OverviewAI-generated summary

Phillip Farmer's research focuses on multiple myeloma, investigating factors that influence its prognosis and molecular characteristics. He has published on high-risk transcriptional profiles in multiple myeloma, identifying them as acquired features that can emerge with subsequent relapses. His work also explores the role of the PRC2 complex, cell cycle progression, and divergent evolutionary pathways within different molecular subgroups of myeloma, from smoldering myeloma to advanced disease. Additionally, Farmer's research extends to medical imaging and telehealth. He has contributed to the development and validation of resources for medical image de-identification, including synthetic DICOM data. His studies also examine the feasibility of telemedicine for research visits, particularly in medically underserved areas and rural research networks, with a focus on conditions such as Parkinson's disease. Farmer holds an h-index of 7 with 32 publications and 265 citations.

Metrics

  • h-index: 7
  • Publications: 32
  • Citations: 269

Selected Publications

  • How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence (2025)
    1 citation DOI OpenAlex
  • The invisible divide: the impact of racial and geographic disparities on multiple myeloma outcomes - insights from a single-site study (2025)
  • Evaluating Skellytour for Automated Skeleton Segmentation from Whole-Body CT Images (2025)
    5 citations DOI OpenAlex
  • CLO24-090: Demographics and Outcomes of Autologous Stem Cell Transplant Among IgD Multiple Myeloma Patients (2024)
  • Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024)
    4 citations DOI OpenAlex
  • Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas (2022)
    22 citations DOI OpenAlex
  • Plasma cells expression from smouldering myeloma to myeloma reveals the importance of the PRC2 complex, cell cycle progression, and the divergent evolutionary pathways within the different molecular subgroups (2021)
    7 citations DOI OpenAlex
  • High‐risk transcriptional profiles in multiple myeloma are an acquired feature that can occur in any subtype and more frequently with each subsequent relapse (2021)
    9 citations DOI OpenAlex
  • A DICOM dataset for evaluation of medical image de-identification (2021)
    32 citations DOI OpenAlex

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Collaboration Network

107 Collaborators 16 Institutions 2 Countries

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