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Peniel Argaw

Observed names: Argaw, Peniel, Argaw, Peniel N., Peniel N Argaw, Peniel N. Argaw
ORCID: 0000-0003-4346-5791
Observed ORCID: 0000-0003-4346-5791
OpenAlex ID: A5070251919
Multimodal AI generates virtual population for tumor microenvironment modeling
2025 · Jeya Maria Jose Valanarasu, Hanwen Xu, et al. · Cell · 69
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events
2023 · Matthew McDermott, Bret Nestor, et al. · neural information processing systems · 26
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CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
2025 · Unell, Alyssa, Codella, Noel C. F., et al. · arXiv (Cornell University) · 2
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Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium
2023 · Hegselmann, Stefan, Zhou, Helen, et al. · Zenodo (CERN European Organization for Nuclear Research) · 2
Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals
2022 · Argaw, Peniel N., Healey, Elizabeth, et al. · arXiv (Cornell University) · 2
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Unsupervised Anomaly Detection to Characterize Heterogeneity in Type 2 Diabetes.
2023 · Peniel N Argaw, Jake A Kushner, et al. · PubMed Central · 1
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Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data
2021 · Trella, Anna L., Argaw, Peniel N., et al. · arXiv (Cornell University) · 1
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A Foundation Model for Policy In-Context Longitudinal Causal Effect Estimation
2026 · Chen, Wenxin, Gan, Kyra, et al. · arXiv (Cornell University)
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Clinical AI in 2025–2026 — Six Themes from the SAIL Year in Review
2026 · Eileen Kim, Marianna V. Elia, et al. · NEJM AI
HERO: Harnessing Evidence for Test-time Refinement and Prompt Optimization in Program Generation
2026 · Lu, Mingyu, Ossowski, Timothy, et al. · arXiv (Cornell University)
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Large Language Models are Approximate Survival Estimators
2026 · Chaves, Juan M Zambrano, Argaw, Peniel, et al. · arXiv (Cornell University)
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Machine Learning for Health symposium 2024 -- Findings track
2025 · Hegselmann, Stefan, Zhou, Helen, et al. · arXiv (Cornell University)
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Effect of renal replacement therapy on acute kidney injury in sepsis patients
2018 · Peniel N. Argaw · DSpace@MIT (Massachusetts Institute of Technology)
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Works count: 13
Citation count: 103
H-index: 2
I10-index: 2
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