Caroline Lee

Associate Professor

National University of Singapore (NUS)

Singapore

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About

Caroline Lee is an Associate Professor at the National University of Singapore. Her research primarily focuses on genetic testing, genomics, and machine learning applications in medicine, illustrated by her recent publications on topics such as preimplantation genetic testing and predictions of rheumatoid arthritis. She is dedicated to advancing the intersection of genetics and clinical care through innovative methodologies and technologies.

Articles (13)

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2025

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2025

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2024

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2023

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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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2022

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2022

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2021

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2021

Collaborators (6)

stacey tay

National University Health System

SINGAPORE

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Vivienne Tan

Lecturer

National University of Singapore

SINGAPORE

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Samuel S Chong

National University of Singapore (NUS)

SINGAPORE

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Weng Khong Lim

Assistant Professor

Duke-NUS Medical School

SINGAPORE

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Samuel S. Chong

Associate Professor

National University of Singapore (NUS)

SINGAPORE

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Zhongwei Huang

National University of Singapore (NUS)

SINGAPORE

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Caroline Lee

Research Interests

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Articles (13)

A Strategy Potentially Suitable for Combined Preimplantation Genetic Testing of Aneuploidy and Monogenic Disease That Permits Direct Detection of Pathogenic Variants Including Repeat Expansions and Gene Deletions

Revolutionising Cardio-Oncology Care with Precision Genomics

Preimplantation Genetic Testing of Spinocerebellar Ataxia Type 3/Machado–Joseph Disease—Robust Tools for Direct and Indirect Detection of the ATXN3 (CAG)n Repeat Expansion

Third-Generation Single-Molecule Sequencing for Preimplantation Genetic Testing of Aneuploidy and Segmental Imbalances

Machine Learning Identifies a Signature of Nine Exosomal RNAs That Predicts Hepatocellular Carcinoma

Robust SNP-based prediction of rheumatoid arthritis through machine-learning-optimized polygenic risk score.

Analysis of clinically relevant variants from ancestrally diverse Asian genomes

Machine learning using genetic and clinical data identifies a signature that robustly predicts methotrexate response in rheumatoid arthritis

Single-Tube Screen for Rapid Detection of Repeat Expansions in Seven Common Spinocerebellar Ataxias

High-Throughput Methylation-Specific Triplet-Primed PCR and Melting Curve Analysis for Selective and Reliable Identification of Actionable FMR1 Genotypes

Functional coding haplotypes and machine-learning feature elimination identifies predictors of Methotrexate Response in Rheumatoid Arthritis patients

Simultaneous Screening of the FRAXA and FRAXE Loci for Rapid Detection of FMR1 CGG and/or AFF2 CCG Repeat Expansions by Triplet-Primed PCR

Sentiments Regarding COVID-19 Vaccination among Graduate Students in Singapore

Collaborators (6)

stacey tay

Vivienne Tan

Samuel S Chong

Weng Khong Lim

Samuel S. Chong

Zhongwei Huang

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