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Using Artificial Intelligence to Assess Treatment-Effect Heterogeneity in Pragmatic Cardiovascular Trials: Insights from TRANSFORM-HF

Year: 2026

Type: preprint

Source: medRxiv

DOI: 10.64898/2026.01.16.26344310

Authors: Guangyu Tong, Changjun Li, Fan Li, Yukang Zeng, Stephen J. Greene, Kevin J. Anstrom, Jeffrey Testani, Robert J. Mentz, Eric J. Velazquez

Institutions: Yale University, Duke University, Duke Medical Center, University of North Carolina at Chapel Hill

Language: English

Topic: Heart Failure Treatment and Management

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7125227133

Cites: 21

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