Ryan Urbanowicz

Assistant Professor

Cedars-Sinai Medical Center

United States

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About

Ryan Urbanowicz is an Assistant Professor at Cedars-Sinai Medical Center in the United States. His research primarily focuses on kidney transplant immunology, particularly the implications of HLA amino acid mismatches on graft failure risk. Recent publications highlight his work in machine learning applications for predicting kidney allograft outcomes and exploring social health factors related to community health.

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Collaborators (11)

Karen O'Connor

University of Pennsylvania

UNITED STATES

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Nadine Al-Naamani

Hospital of the University of Pennsylvania

UNITED STATES

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Pei-Chen Peng

Assistant Professor

Cedars-Sinai Medical Center

UNITED STATES

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Jose Bauermeister

Professor

University of Pennsylvania

UNITED STATES

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Graciela Gonzalez Hernandez

Professor and Vice Chair

Cedars-Sinai Medical Center

UNITED STATES

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Randall A. Oyer

University of Pennsylvania

UNITED STATES

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Steven Kawut`

Professor

University of Pennsylvania Perelman School of Medicine

UNITED STATES

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Robin Stevens

Associate Professor

University of Southern California

UNITED STATES

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Yunwen Wang

University of Southern California

UNITED STATES

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Nicholas Brown

Associate Professor

University of Pennsylvania

UNITED STATES

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Yi-An Hsieh

University of Pennsylvania

UNITED STATES

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Ryan Urbanowicz

Research Interests

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About

Articles (22)

A Novel Machine Learning Algorithm Discovers Mismatched HLA Class I Amino Acid Positions That Confer Incremental Kidney Graft Failure Risk Independent of HLA Class II

HLA Class I Amino Acid Mismatches That Distinguish Divergent HLA-A Allele Lineages Confer Incremental Risk of Kidney Allograft Failure Independent of Class II Mismatches

Stepwise Models Identify Risk of Kidney Allograft Failure Associated with HLA Amino Acid Mismatches Among Adult FSGS Recipients

0627 Social Risk Factors, Sleep Apnea and Cardiovascular Risk: Clinical Predictors in Community Health Centers

Mpox Discourse on Twitter by Sexual Minority Men and Gender-Diverse Individuals: Infodemiological Study Using BERTopic

Advancing LGBTQ+ inclusion in STEM education and AI research.

Relation Detection to Identify Stroke Assertions from Clinical Notes Using Natural Language Processing.

Assessing the limitations of relief-based algorithms in detecting higher-order interactions.

An extended machine learning approach for binning donor-recipient HLA amino acid mismatches to predict kidney graft failure risk

Donor specific antibodies to DQ antigens are rare in DR antigen matched kidney transplants

Profiling performance of high-resolution HLA imputation with complementary metrics and visualizations using an open-source validation framework

Risk of kidney graft failure (GF) associated with HLA class II amino acid mismatches (AAMM) is highest during the first year after transplant for sensitized patients

A Data-Driven Analysis of Ward Capacity Strain Metrics That Predict Clinical Outcomes Among Survivors of Acute Respiratory Failure

Heterogeneity of treatment effects by risk in pulmonary arterial hypertension.

Scikit-FIBERS: An 'OR'-Rule Discovery Evolutionary Algorithm for Risk Stratification in Right-Censored Survival Analyses

ChatGPT and large language models in academia: opportunities and challenges

HLA amino acid Mismatch-Based risk stratification of kidney allograft failure using a novel Machine learning algorithm

Is low-risk status a surrogate outcome in pulmonary arterial hypertension? An analysis of three randomised trials.

Toward Predicting 30-Day Readmission Among Oncology Patients: Identifying Timely and Actionable Risk Factors.

Baseline Sex Differences in Pulmonary Arterial Hypertension Randomized Clinical Trials

Genetic heterogeneity: Challenges, impacts, and methods through an associative lens

BMI and Treatment Response in Patients With Pulmonary Arterial Hypertension A Meta-analysis

Collaborators (11)

Karen O'Connor

Nadine Al-Naamani

Pei-Chen Peng

Jose Bauermeister

Graciela Gonzalez Hernandez

Randall A. Oyer

Steven Kawut`

Robin Stevens

Yunwen Wang

Nicholas Brown

Yi-An Hsieh

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