James Long

Associate Professor

The University of Texas MD Anderson Cancer Center

United States

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About

James Long is an Associate Professor at The University of Texas MD Anderson Cancer Center in the United States. His research focuses on early cancer detection, biomarker identification, and the use of advanced imaging techniques in oncology. Recent articles include studies on feature selection methods for sensitivity maximization and the diagnostic confidence of MRI in brain metastases detection.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2024

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2023

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2022

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2022

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2022

Collaborators (9)

Tracey L Marsh

Fred Hutchinson Cancer Research Center

UNITED STATES

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Johannes Fahrmann

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Jamie Lin

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Ehsan Irajizad

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Yisheng LI

Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Chong Wu

Assistant Professor

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Rachelle Spencer

The University of Texas MD Anderson Cancer Center

UNITED STATES

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Michele Yip-Schneider

Senior Research Professor

Indiana University School of Medicine

UNITED STATES

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Kim‐Anh Do

UNITED STATES

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James Long

Research Interests

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About

Articles (10)

SMAGS-LASSO: A Novel Feature Selection Method for Sensitivity Maximization in Early Cancer Detection

Cyst fluid proteins stratify malignant risk of intraductal papillary mucinous neoplasm of the pancreas

Diagnostic Confidence of Contrast-Enhanced T1-Weighted MRI for the Detection of Brain Metastases: 3D FSE versus 3D GRE–Based Sequences

A Novel Sensitivity Maximization at a Given Specificity Method for Binary Classifications

Lead time trajectory of blood-based protein biomarkers for detection of pancreatic cancer based on repeat testing

Grape-Pi: graph-based neural networks for enhanced protein identification in proteomics pipelines

Mortality Benefit of a Blood-Based Biomarker Panel for Lung Cancer on the Basis of the Prostate, Lung, Colorectal, and Ovarian Cohort

Urinary T cells are detected in patients with immune checkpoint inhibitor-associated immune nephritis that are clonotypically identical to kidney T cell infiltrates

Tertiary lymphoid structure signatures are associated with immune checkpoint inhibitor related acute interstitial nephritis

A Blood-Based Metabolite Panel for Distinguishing Ovarian Cancer from Benign Pelvic Masses

Collaborators (9)

Tracey L Marsh

Johannes Fahrmann

Jamie Lin

Ehsan Irajizad

Yisheng LI

Chong Wu

Rachelle Spencer

Michele Yip-Schneider

Kim‐Anh Do

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