Phillip Farmer

Director of Cancer Informatics

University of Arkansas for Medical Sciences

faculty

7 h-index 32 pubs 264 cited

Research Areas

Medical Imaging Techniques and Applications Telemedicine and Telehealth Implementation Multiple Myeloma Research and Treatments Health disparities and outcomes Radiomics and Machine Learning in Medical Imaging Neurological disorders and treatments 14-3-3 protein interactions Peptidase Inhibition and Analysis

Links

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OverviewAI-generated summary

Phillip Farmer's research program focuses on the application of computational methods and data analysis to medical research, with a particular emphasis on cancer and neurological disorders. His work includes the development and evaluation of resources for medical image de-identification, addressing privacy concerns in clinical data. Farmer has investigated the feasibility of telemedicine for research visits, particularly in populations with Parkinson's disease residing in underserved areas. His publications also explore molecular mechanisms in multiple myeloma, examining plasma cell expression and the influence of factors such as age at diagnosis on survival outcomes. He has a notable network of collaborators within the University of Arkansas for Medical Sciences, with whom he has co-authored multiple publications across these research areas. Farmer's scholarship metrics include an h-index of 7, with 32 publications and 264 citations.

Metrics

  • h-index: 7
  • Publications: 32
  • Citations: 264

Selected Publications

  • How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence (2025) DOI
  • The invisible divide: the impact of racial and geographic disparities on multiple myeloma outcomes - insights from a single-site study (2025) DOI
  • Evaluating Skellytour for Automated Skeleton Segmentation from Whole-Body CT Images (2025) DOI
  • CLO24-090: Demographics and Outcomes of Autologous Stem Cell Transplant Among IgD Multiple Myeloma Patients (2024) DOI
  • Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024) DOI
  • Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas (2022) DOI
  • 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) DOI
  • 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) DOI
  • A DICOM dataset for evaluation of medical image de-identification (2021) DOI

Collaborators

Researchers in the database who share publications

Michael Rutherford University of Arkansas for Medical Sciences 5 shared publications Fred Prior University of Arkansas for Medical Sciences 3 shared publications Nishanth Thalambedu University of Arkansas for Medical Sciences 3 shared publications Michael Bauer University of Arkansas for Medical Sciences 2 shared publications Christopher P. Wardell University of Arkansas for Medical Sciences 2 shared publications Cody Ashby University of Arkansas for Medical Sciences 2 shared publications Aaron S. Kemp University of Arkansas for Medical Sciences 2 shared publications Aliyah Glover University of Arkansas for Medical Sciences 2 shared publications

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