Joel Rodríguez Troncoso Source Confirmed
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Researcher
University of Arkansas at Fayetteville
faculty
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Biography and Research Information
OverviewAI-generated summary
Joel Rodríguez Troncoso's research focuses on the application of optical spectroscopy techniques for the characterization and monitoring of breast cancer. His work utilizes diffuse reflectance spectroscopy and Raman spectroscopy to investigate changes within the tumor microenvironment in response to various treatments, including immune checkpoint inhibitors and radiation therapy. Rodríguez Troncoso also explores the use of terahertz imaging as a modality for breast cancer detection and evaluation in both animal and human models. His publications include investigations into the optical properties of different tumor types and the use of machine learning to analyze spectroscopic data for early detection of treatment-induced changes.
His research network includes collaborators from the University of Arkansas at Fayetteville, such as Narasimhan Rajaram and Jesse D. Ivers, and from the University of Arkansas for Medical Sciences, including Nathan Avaritt and Allen Gies. Rodríguez Troncoso has a publication record of 21 articles, with a total of 118 citations and an h-index of 6.
Metrics
- h-index: 6
- Publications: 21
- Citations: 118
Selected Publications
- Investigating In Vivo Tumor Biomolecular Changes Following Radiation Therapy Using Raman Spectroscopy (2024) DOI
- Evaluating differences in optical properties of indolent and aggressive murine breast tumors using quantitative diffuse reflectance spectroscopy (2023) DOI
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy (2023) DOI
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy (2023) DOI
- Supplementary Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy (2023) DOI
- Data from Raman Spectroscopy and Machine Learning Reveals Early Tumor Microenvironmental Changes Induced by Immunotherapy (2023) DOI
- Diffuse Reflectance Spectroscopy of Changes in Tumor Microenvironment in Response to Different Doses of Radiation (2022) DOI
- Raman spectroscopy reveals phenotype switches in breast cancer metastasis (2022) DOI
- Abstract 1943: Elucidating early tumor microenvironmental changes due to immunotherapy with label-free Raman spectroscopy and machine learning (2022) DOI
- Optical spectroscopy of murine breast tumors to determine metastatic potential (2022) DOI
- Terahertz Imaging of Breast Cancer using Human and Animal Models (2021) DOI
- Raman spectroscopy reveals phenotype switches in breast cancer metastasis (2021) DOI
- Longitudinal monitoring of tumor response to immune checkpoint inhibitors using noninvasive diffuse reflectance spectroscopy (2021) DOI
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer (2021) DOI
- Diffuse reflectance spectroscopy to study the effects of radiation therapy dose on tumor microenvironment (2021) DOI
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