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Profil bibliographique

Neil Rakheja

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

4Publications signalées
33Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Topic ModelingNatural Language Processing TechniquesRenal cell carcinoma treatmentBiomedical Text Mining and OntologiesCancer Immunotherapy and Biomarkers

Les publications récentes

Accès ouvert 2026 article OpenAlex

Extensive lymph node involvement in classic renal angiomyolipoma: A case report and literature review

Neil Rakheja, Daniel Shen, Urooba Nadeen, Isamu Tachibana et autres

Background: Renal angiomyolipoma (AML) is a benign mesenchymal neoplasm driven by biallelic inactivation of TSC genes. Regional lymph node involvement is rare in classic AML and may raise concern for malignancy or metastatic disease. Case report: We present a case of a …

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0 citations Discussion of Clinical Cases
Accès ouvert 2026 article OpenAlex

Pathologic Complete Response After Preoperative Ipilimumab and Nivolumab in an HLRCC Patient with Stage III Renal Cell Carcinoma.

Neil Rakheja, Payal Kapur, John Zimmerman, Asim Afaq et autres

gene. Affected patients typically present with renal cell carcinoma (RCC) at a young age and often experience rapidly progressive disease and poor outcomes. Mean survival is significantly shorter for stages III and IV than for stages I and II (15.8 vs 80.7 …

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0 citations PubMed
Accès ouvert 2025 article OpenAlex

Iterative refinement and goal articulation to optimize large language models for clinical information extraction

David Hein, Alana L. Christie, Michael J. Holcomb, Bingqing Xie et autres

Extracting structured data from free-text medical records at scale is laborious, and traditional approaches struggle in complex clinical domains. We present a novel, end-to-end pipeline leveraging large language models (LLMs) for highly accurate information extraction and normalization from unstructured pathology reports, focusing …

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28 citations npj Digital Medicine
Accès ouvert 2025 preprint OpenAlex

Prompts to Table: Specification and Iterative Refinement for Clinical Information Extraction with Large Language Models

David Hein, Alana L. Christie, Michael J. Holcomb, Bingqing Xie et autres

Extracting structured data from free-text medical records at scale is laborious, and traditional approaches struggle in complex clinical domains. We present a novel, end-to-end pipeline leveraging large language models (LLMs) for highly accurate information extraction and normalization from unstructured pathology reports, focusing …

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5 citations medRxiv

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