Author

Jeremy C. Weiss

Observed names: Jeremy C Weiss, Jeremy Weiss, Weiss, Jeremy, Weiss, Jeremy C.

Institutions: National Institutes of Health, United States National Library of Medicine

Observed institutions: National Institutes of Health, United States National Library of Medicine

OpenAlex ID: A5151855794

Anchoring Clinical Events in Time: UID-Preserving Multimodal Reconstruction and Source-Grounded Adjudication

2026 · Kumar, Sayantan, Grimaldi, Nicolas, et al. · arXiv (Cornell University)

Grounded Adjudication of Variations across Extracted TimeLines (GAVEL): Comparing Clinical Timelines Against Their Case Reports

2026 · Cummins, Jack, Kumar, Sayantan, et al. · arXiv (Cornell University)

Hindsight Bias in Clinical Temporal Reasoning: How Future Data Exposure Affects Large Language Model Judgment

2026 · Matsuura, Misaki, Kumar, Sayantan, et al. · arXiv (Cornell University)

The GRACE Cycle: A General Large-Language-Model Framework for Phenotype Discovery with Unknown Cluster Number

2026 · Jing Wang, Zorina Galis, et al. · Research Square

Text Knows What, Tables Know When: Clinical Timeline Reconstruction via Retrieval-Augmented Multimodal Alignment

2026 · Kumar, Sayantan, Noroozizadeh, Shahriar, et al. · PubMed

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling

2026 · Sayantan Kumar, Jeremy C. Weiss · medRxiv

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling

2026 · Kumar, Sayantan, Weiss, Jeremy C. · arXiv (Cornell University)

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling.

2026 · Sayantan Kumar, Jeremy C Weiss · PubMed

Temporally Phenotyping GLP-1RA Case Reports with Large Language Models: A Textual Time Series Corpus and Risk Modeling

2026 · Kumar, Sayantan, Weiss, Jeremy C. · PubMed Central

SurvHTE-Bench: A Benchmark for Heterogeneous Treatment Effect Estimation in Survival Analysis

2026 · Noroozizadeh, Shahriar, Shen, Xiaobin, et al. · arXiv (Cornell University)

Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare

2026 · Association for Artificial Intelligence 2026, Kumar, Sayantan, et al. · Underline Science Inc.

Works count: 11

Citation count:

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