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M. Ritchie

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Open access Sep 2026

Generalizable CT vision-language modeling for population health and disease risk

Percival is introduced, a CT-native VLM trained on more than 400,000 CT-report pairs from the Penn Medicine BioBank using a dual-encoder symmetric contrastive framework, and evaluated against alternative foundation-model paradigms, indicating that CT-VLMs uncover latent structure aligned with clinical, physiological, a...

C. Beeche, Joonghyun Kim, H. Tavolinejad et al. · 1 citation
Open access Aug 2026

Pathway Modeling of Genomic and Tissue-Specific Transcriptomic Architecture Identifies Personalized Mechanisms of Atrial Fibrillation Risk

A pathway-level multi-omics representation learning framework that converts individual genetic profiles into interpretable biological features by integrating GWAS-derived pathway burden scores with tissue-specific transcriptomic pathway signals is developed, providing a framework for interpretable genomic stratificatio...

R. Venkatesh, R. Deo, T. Cappola et al. · 0 citations
Review Aug 2026

AI-based multimodal integration of genomics and electronic health records.

This Review highlights AI and ML frameworks for integrating genomic, multi-omics, and EHR data, and discusses how these approaches are reshaping genomics research as well as clinical practice.

Rasika Venkatesh, M. Ritchie · 0 citations

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