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Baiming Zou

10PUBLICATIONS

33CO-AUTHORS

Deep learningMolecular targetsCancer therapy (excl. chemotherapy and radiation therapy)Proteomics and metabolomicsEpidemiological modelling

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Publications (10)

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|Apr 09, 2026

An interpretable deep learning framework for predictive modeling of postoperative infections in ICU patients.

Xiaoyu Wu, Isaac Luria, Meisheng Xiao

|Mar 14, 2026

GARD: Genomic Data-Based Drug Repurposing in Head and Neck Cancer with Large Language Model Validation.

Pradham Tanikella, William Nenad, Christophe Courtine

|Feb 06, 2026

GARD: Genomic Data based Drug Repurposing in Head and Neck Cancer with Large Language Model Validation.

Pradham Tanikella, Will Nenad, Christophe Courtine

|Oct 17, 2025

Community-Engaged Approach to Increase Physical Activity Among Black Individuals With Colorectal Cancer: Protocol for a Feasibility Randomized Controlled Trial of the Physical Activity Centers Empowerment Study.

Rachel Hirschey, Jingle Xu, Nathaniel Woodard

|Apr 26, 2025

High-dimensional biomarker identification for interpretable disease prediction via machine learning models.

Yifan Dai, Di Wu, Ian Carroll

|Jan 16, 2025

A deep learning feature importance test framework for integrating informative high-dimensional biomarkers to improve disease outcome prediction.

Baiming Zou, James G Xenakis, Meisheng Xiao

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Frequent Collaborators

4 joint publications

Di Wu

3 joint publications

Yifan Dai

2 joint publications

Christophe Courtine

2 joint publications

Nosayaba Osazuwa-Peters

2 joint publications

Travis Schrank

2 joint publications

Qingying Deng

2 joint publications

Fei Zou

2 joint publications

William Nenad

2 joint publications

Pradham Tanikella

1 joint publications

Mike M O'Shea

Frequent Collaborators

4 joint publications

Di Wu

3 joint publications

Yifan Dai

2 joint publications

Christophe Courtine

2 joint publications

Nosayaba Osazuwa-Peters

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