Haolun Ding

Hefei, China

Last Updated: 09/26/2026

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Found 9 publications

Treatment-agnostic joint modeling of longitudinal circulating tumor dna predicts survival across first-line regimens in metastatic non-squamous NSCLC.

Treatment-agnostic joint modeling of longitudinal circulating tumor dna predicts survival across first-line regimens in metastatic non-squamous NSCLC.

Journal: European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences

Published: July 21, 2025

Evaluating Circulating Tumor DNA Clearance as an Early Intermediate End Point Predicting Clinical Benefit in Metastatic Nonsquamous NSCLC After First-Line Chemoimmunotherapy.

Evaluating Circulating Tumor DNA Clearance as an Early Intermediate End Point Predicting Clinical Benefit in Metastatic Nonsquamous NSCLC After First-Line Chemoimmunotherapy.

Journal: JTO clinical and research reports

Published: March 17, 2025

Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Discovery of mutations predictive of survival benefit from immunotherapy in first-line NSCLC: A retrospective machine learning study of IMpower150 liquid biopsy data.

Journal: Computers in biology and medicine

Published: January 30, 2025

Improving Prediction of Survival and Progression in Metastatic Non-Small Cell Lung Cancer After Immunotherapy Through Machine Learning of Circulating Tumor DNA.

Improving Prediction of Survival and Progression in Metastatic Non-Small Cell Lung Cancer After Immunotherapy Through Machine Learning of Circulating Tumor DNA.

Journal: JCO precision oncology

Published: July 08, 2024

Longitudinal genomic profiling using liquid biopsies in metastatic nonsquamous NSCLC following first line immunotherapy.

Longitudinal genomic profiling using liquid biopsies in metastatic nonsquamous NSCLC following first line immunotherapy.

Journal: NPJ precision oncology

Published: April 04, 2024

Identifying key circulating tumor DNA parameters for predicting clinical outcomes in metastatic non-squamous non-small cell lung cancer after first-line chemoimmunotherapy.

Identifying key circulating tumor DNA parameters for predicting clinical outcomes in metastatic non-squamous non-small cell lung cancer after first-line chemoimmunotherapy.

Journal: Nature communications

Published: February 27, 2024

Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance.

Image-Based Subtype Classification for Glioblastoma Using Deep Learning: Prognostic Significance and Biologic Relevance.

Journal: JCO clinical cancer informatics

Published: January 17, 2024

Multitask learning of longitudinal circulating biomarkers and clinical outcomes: identification of optimal machine-learning and deep-learning models.

Multitask learning of longitudinal circulating biomarkers and clinical outcomes: identification of optimal machine-learning and deep-learning models.

Journal: BMC medical informatics and decision making

Published: December 23, 2023

Evaluating Prognostic Value of Dynamics of Circulating Lactate Dehydrogenase in Colorectal Cancer Using Modeling and Machine Learning.

Evaluating Prognostic Value of Dynamics of Circulating Lactate Dehydrogenase in Colorectal Cancer Using Modeling and Machine Learning.

Journal: Clinical pharmacology and therapeutics

Published: June 10, 2023

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Last Updated: 09/26/2026