Phillip Farmer

Director of Cancer Informatics

UAMS

Also affiliated: Winthrop Rockefeller Foundation (2024); Erasmus MC Cancer Institute (2019)

Faculty Researcher

8 h-index 32 pubs 279 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website Research Group

OverviewAI-generated summary

Phillip Farmer's research focuses on the application of computational methods and advanced imaging techniques to understand and treat diseases. He has published work on the development of DICOM datasets for de-identification and evaluation of medical images, as well as automated skeleton segmentation from CT images. His work also investigates high-risk transcriptional profiles in multiple myeloma, exploring the role of the PRC2 complex, cell cycle progression, and divergent evolutionary pathways within molecular subgroups. Farmer has also explored the feasibility of telemedicine for research visits, particularly in populations with Parkinson's disease residing in medically underserved areas. His research network includes collaborators such as Michael Rutherford, Fred Prior, Michael Bauer, and Christopher P. Wardell, with whom he has co-authored multiple publications. Farmer's scholarship metrics include an h-index of 8, with 32 total publications and 272 citations.

Metrics

h-index: 8
Publications: 32
Citations: 279

Selected Publications

How Does Age at Diagnosis Influence Multiple Myeloma Survival? Empirical Evidence (2025)

Healthcare 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)

Haematologica DOI OpenAlex
Evaluating Skellytour for Automated Skeleton Segmentation from Whole-Body CT Images (2025)

Radiology Artificial Intelligence 8 citations DOI OpenAlex
CLO24-090: Demographics and Outcomes of Autologous Stem Cell Transplant Among IgD Multiple Myeloma Patients (2024)

Journal of the National Comprehensive Cancer Network DOI OpenAlex
Feasibility of regional center telehealth visits utilizing a rural research network in people with Parkinson’s disease (2024)

Journal of Clinical and Translational Science 4 citations DOI OpenAlex
Feasibility of telemedicine research visits in people with Parkinson’s disease residing in medically underserved areas (2022)

Journal of Clinical and Translational Science 24 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)

Leukemia 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)

British Journal of Haematology 10 citations DOI OpenAlex
A DICOM dataset for evaluation of medical image de-identification (2021)

Scientific Data 33 citations DOI OpenAlex
Chest imaging representing a COVID-19 positive rural U.S. population (2020)

Scientific Data 59 citations DOI OpenAlex
Late Relapsing Multiple Myeloma ≥ 10 Years after Treatment on Total Therapy Protocols Are Associated with Good Outcome (2020)

Blood 2 citations DOI OpenAlex
Bone marrow microenvironments that contribute to patient outcomes in newly diagnosed multiple myeloma: A cohort study of patients in the Total Therapy clinical trials (2020)

PLoS Medicine 75 citations DOI OpenAlex
EARLY Results of TOTAL Therapy 7 (TT7): High Response Rates of NEWLY Diagnosed High Risk Myeloma to Daratumumab (2019)

Blood 6 citations DOI OpenAlex
PF606 ADVERSE IMPACT OF PRIOR THERAPY ON TRANSPLANT OUTCOME IN MULTIPLE MYELOMA (2019)

HemaSphere DOI OpenAlex
Global Expression Changes of Malignant Plasma Cells over Time Reveals the Evolutionary Development of Signatures of Aggressive Clinical Behavior (2018)

Blood DOI OpenAlex