Christopher Weight

Professor of Urology and Center Director Urologic Oncology

Cleveland Clinic Lerner College of Medicine of Case Western Reserve University

United States

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Professor Christopher Weight serves as the Center Director of Urologic Oncology at the Cleveland Clinic Lerner College of Medicine in the United States. His research focuses on urology and includes recent studies on DNA adductomics, artificial intelligence applications in predicting renal function, and the analysis of nephrometry scores. Professor Weight's work aims to enhance understanding of renal oncologic outcomes and improve surgical predictions.

Articles (10)

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2025

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2025

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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

Collaborators (4)

Madjda Bellamri

University of Minnesota

UNITED STATES

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Robert J. Turesky

University of Minnesota

UNITED STATES

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Peter Villalta

Research Professor

University of Minnesota

UNITED STATES

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Scott Walmsley

University of Minnesota

UNITED STATES

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Christopher Weight

Research Interests

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Articles (10)

Untargeted DNA Adductomics Identifies Aristolochic Acid III as a Potent DNA-Damaging Agent among 11 Substituted Aromatic Genotoxicants in the Rat Urinary System

A Fully Automated Artificial Intelligence-Based Approach to Predict Renal Function After Radical or Partial Nephrectomy

Fully Automated Versions of Clinically Validated Nephrometry Scores Demonstrate Superior Predictive Utility versus Human Scores

Screening DNA Damage in the Rat Kidney and Liver by Untargeted DNA Adductomics

Functional recovery after partial nephrectomy in a solitary kidney

AI-generated R.E.N.A.L.+ Score Surpasses Human-generated Score in Predicting Renal Oncologic Outcomes

Rates of editor-authored manuscripts among urology journals using blinded or non-blinded review

The Cooked Meat Carcinogen 2-Amino-1-methyl-6-phenylimidazo[4,5- b]pyridine Hair Dosimeter, DNA Adductomics Discovery, and Associations with Prostate Cancer Pathology Biomarkers

Computer-Generated R.E.N.A.L. Nephrometry Scores Yield Comparable Predictive Results to Those of Human-Expert Scores in Predicting Oncologic and Perioperative Outcomes

Automatic Segmentation of Kidneys and Kidney Tumors

Collaborators (4)

Madjda Bellamri

Robert J. Turesky

Peter Villalta

Scott Walmsley

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