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Suraj Rajendran

Georgia Institute of Technology

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Open access Sep 2026

MES: A Multi-Agent Evidence Synthesis System for Medical Decision-Making

Medical evidence synthesis increasingly requires published studies, real-world clinical data and structured biomedical knowledge, yet most automated systems remain centered on literature retrieval and summarization. Here we present MES, a multi-agent framework for source-grounded medical evidence synthesis. MES coordin...

Hao-Yang Li, Wei-Di Pan, Suraj Rajendran et al. · 0 citations
#human-computer interacti... Open access Jul 2025

TrialCompass: Visual Analytics for Enhancing the Eligibility Criteria Design of Clinical Trials

TrialCompass, a visual analytics system integrating a novel workflow, can empower clinicians to iteratively explore the vast space of eligibility criteria through knowledge-driven and outcome-driven approaches and support history-tracking to help clinicians trace the evolution of their adjustments and decisions when ex...

Rui Sheng, Xing-Bo Wang, Jiachen Wang et al. · 1 citation
Jul 2026

Dysco: Dynamic Subspace Boosting to Mitigate LoRA Interference in Federated Learning

Dynamic Subspace Boosting (Dysco), a plug-in method that allocates client-specific LoRA subspaces in a federated and dynamic manner, and proves that Dysco's server-fixed merged subspaces yield a tighter upper bound on this error.

Haobo Zhang, Jiankun Wang, Suraj Rajendran et al. · 0 citations

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