Min Lu

Assistant Professor

University of Miami

United States

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Min Lu is an Assistant Professor at the University of Miami, United States. His research areas encompass cognitive health, respiratory health in low-income regions, gene expression analysis, and the psychological impacts on marginalized communities, particularly during the COVID-19 pandemic. Recent publications highlight his work on mental health associations, telehealth utilization, and the complexities of disease dynamics in various contexts.

Articles (13)

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (3)

Brian McCabe

Auburn University

UNITED STATES

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Gabriela Nagy

Assistant Professor

University of Wisconsin-Milwaukee

UNITED STATES

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Adaeze Wosu Nzegwu

Johns Hopkins University

UNITED STATES

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Min Lu

Research Interests

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Articles (13)

Ensemble methods of rank-based trees for single sample classification with gene expression profiles

Assessing the prevalence and impact of preserved ratio impaired spirometry in low-income and middle-income countries: a post-hoc cross-sectional analysis.

Associations of cognitive test performance with self-reported mental health, cognition, and quality of life in adults with functional seizures: A systematic review and meta-analysis

Telehealth utilization in U.S. Medicare beneficiaries aged 65 years and older during the COVID-19 pandemic

Acculturative Stress, Resilience, and a Syndemic Factor Among Latinx Immigrants

Exploring Factors That Affected Student Well-Being during the COVID-19 Pandemic: A Comparison of Data-Mining Approaches

Access to care through telehealth among U.S. Medicare beneficiaries in the wake of the COVID-19 pandemic

Adjuvant Therapy after Neoadjuvant Therapy for Esophageal Cancer: Who Needs It?

Interactions between staphylococcal enterotoxins A and D and superantigen-like proteins 1 and 5 for predicting methicillin and multidrug resistance profiles among Staphylococcus aureus ocular isolates

Cure and death play a role in understanding dynamics for COVID-19: Data-driven competing risk compartmental models, with and without vaccination

Discussion on “Nonparametric variable importance assessment using machine learning techniques” by Brian D. Williamson, Peter B. Gilbert, Marco Carone, and Noah Simon

LR hunting: A Random Forest Based Cell-cell Interaction Discovery Method for Single-cell Gene Expression Data

Dynamic Modeling COVID-19 for Comparing Containment Strategies in a Pandemic Scenario

Collaborators (3)

Brian McCabe

Gabriela Nagy

Adaeze Wosu Nzegwu

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