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Bio

Julio Cárdenas-Rodríguez is a Research Assistant Professor of Biomedical Engineering & Radiology at the University of Arizona Cancer Center. He was born and raised in Mexico City, México. He moved to the U.S. in 2007 to pursue a PhD after working several years performing research in the private sector at Merck & Co. He joined the University of Arizona as a Research Professor in October of 2013. His professional interest is to construct data-driven methods to improve the diagnosis and treatment of disease at a low cost.

Professional Projects

1. Using the Maltose (sugar in beer) to differentiate tumors and infections in the lung

Status: In Progress

2. Measure the pH of tumors using a metabolite of Aspirin and Machine Learning

Status: In Progress

3. Predicting response to chemotherapy using machine learning and standard-of-care MRI.

Status: In Progress
Conclusion: L

4. Improving the repeatibility of DCE MRI using algorithms invented at my laboratory Link to Repository

Status: Completed.
Conclusion: Linearization of the pharmacokinetic models models used for the analysis of clincial DCE MRI improves their repeatibility by more than 2X.

Publications

Follow link to CardenasLab.org: Publications

Personal Projects

1. Data Science Career Track at Spring Board: Link

Status: In Progress

2. Learn Python

Status: In Progress

3. Learn Julia

Status: In Progress

Julio Cárdenas-Rodríguez's Projects

acidocest_ml icon acidocest_ml

A new method to measure pH using Machine Learning and CEST MRI

blog icon blog

Code and notes for my blog The Art of Changing Sciences

brukermri icon brukermri

Python module to handle Bruker Paravision MRI files (parameter files, raw data, processed data).

cest_mri icon cest_mri

A library of functions to perform quantitative analysis of CEST MRI / NMR data

cestmri.mat icon cestmri.mat

CESTMRI.mat is a MATLAB library for the simulation and analysis of CEST MRI data

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

data.world icon data.world

Julio's code for the analysis of data sets from Data.World

dce_msot icon dce_msot

A collection of code to analyze Dynamoc Contrast-Enhanced (DCE) Multispectral Optoacoustic Tomography (MSOT)

fitdcemri icon fitdcemri

fitdcemri: a Matlab function for the analysis of DCE MRI data

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