Michael Kammer

Research Assistant Professor

Vanderbilt University Medical Center

United States

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About

Dr. Michael Kammer is a Research Assistant Professor at Vanderbilt University Medical Center in the United States. His research focuses on the development and optimization of biomarker models for lung cancer, the exploration of clinical disease signatures, and the evaluation of lung cancer probability models. Recent publications include investigations into the mechanisms of cancer progression and the integration of reproductive factors related to lung cancer risk.

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2025

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UNITED STATES

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Michael Kammer

Research Interests

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Articles (20)

Unsupervised discovery of clinical disease signatures using probabilistic independence

Optimizing Biomarker Models for Biologically Heterogeneous Cancers: A Nested Model Approach for Lung Cancer

Theoretical Basis for Refractive Index Changes Resulting from Solution Phase Molecular Interaction

Validation of a High-Specificity Blood Autoantibody Test to Detect Lung Cancer in Pulmonary Nodules

The Lung Cancer Prediction Model “Stress Test”

Evaluation of Lung Cancer Probability Models and Guideline Recommendations in Settings With a High Prevalence of Cancer

Premalignant Progression in the Lung: Knowledge Gaps and Novel Opportunities for Interception of Non–Small Cell Lung Cancer. An Official American Thoracic Society Research Statement

Premalignant Progression in the Lung: Knowledge Gaps and Novel Opportunities for Interception of Non-Small Cell Lung Cancer. An Official American Thoracic Society Research Statement.

Exploring the Intersection of Reproductive Factors and Lung Cancer Risk in Female Patients

Elucidating the role of EPPK1 in lung adenocarcinoma development.

Tumoral Densities of T-Cells and Mast Cells Are Associated With Recurrence in Early-Stage Lung Adenocarcinoma

A Case Study in Artificial Intelligence-Generated Manuscripts

Integrated Multi-omics Analysis of Early Lung Adenocarcinoma Links Tumor Biological Features with Predicted Indolence or Aggressiveness

Update on Biomarkers for the Stratification of Indeterminate Pulmonary Nodules

Improving Lung Cancer Diagnosis with CT Radiomics and Serum Histoplasmosis Testing

Assay Performance of a Label-Free, Solution-Phase CYFRA 21-1 Determination

The Intervention Probability Curve: Modeling the Practical Application of Threshold-Guided Decision-Making, Evaluated in Lung, Prostate, and Ovarian Cancers

Should We Start With Navigation or Endobronchial Ultrasound Bronchoscopy?

Reply to Zhao et al.: Integrated Biomarkers for Indeterminate Pulmonary Nodules: Is 2-Year Imaging Follow-Up Enough for Suspected Benign Lesions?

Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules

Collaborators (7)

Jonathan Irish

Shayan Mahapatra MD

Georgii Vasiukov

Heidi Chen

WILLIAM STEAD

Rafael Paez

Eric L. Grogan

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