Weill Cornell Medical College

Type

Funder

Country

ROR

02r109517

not unique to one org

OpenAlex

F4320332513

the anchor

Documents

30

through any edge

Papers

0

authorship edges

Awards made

10

2 grant numbers

Named as funder

30

no grant number

Funding

Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.

What Weill Cornell Medical College has funded

10 awards under 2 distinct grant numbers, across 10 documents. A further 30 documents name it as a funder without a grant number — a weaker claim, counted separately.

Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortalitygrant UL1TR002384 · 2021-01-01Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) datasetgrant UL1TR002384 · 2022-04-14De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repositorygrant UL1TR002384 · 2023-07-07A method to automate the discharge summary hospital course for neurology patientsgrant UL1TR002384 · 2023-08-28Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programsgrant UL1TR002384 · 2024-10-21Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programsgrant UL1TR002384 · 2024-11-05Causal Inference via Electronic Health Records in the National Clinical Cohort Collaborative: Challenges and Solutions in Long COVID Researchgrant UL1TR002384 · 2025-06-08Clinical encounter heterogeneity and methods for resolving in networked EHR data: a study from N3C and RECOVER programs.grant UL1TR002384 · 2025-07-26Extraction of radiographic findings from unstructured thoracoabdominal computed tomography reports using convolutional neural network based natural language processinggrant UL1 TR000457 · 2020-07-30BEACON: predicting side effects and therapeutics outcomes to drugs by Bridging knowlEdge grAph with CONtextual language modelgrant UL1TR002384 · 2026-01-30

10 of 40 funding edges

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