Type
Funder
Country
—
ROR
—
Documents
7
through any edge
Papers
0
authorship edges
Awards made
16
4 grant numbers
Named as funder
7
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Clinical and Translational Science Institute, Boston University has funded
16 awards under 4 distinct grant numbers, across 7 documents. A further 7 documents name it as a funder without a grant number — a weaker claim, counted separately.
Development and validation of an interpretable deep learning framework for Alzheimer’s disease classificationgrant 1UL1TR001430 · 2020-04-08Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) datasetgrant UL1TR001412 · 2022-04-14Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) datasetgrant UL1TR001430 · 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 UL1TR001412 · 2023-07-07De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repositorygrant UL1TR001430 · 2023-07-07De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repositorygrant UL1TR002494 · 2023-07-07Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programsgrant UL1TR001412 · 2024-10-21Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programsgrant UL1TR001430 · 2024-10-21Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programsgrant UL1TR002494 · 2024-10-21Finding Long-COVID: temporal topic modeling of electronic health records from the N3C and RECOVER programsgrant UL1TR001412 · 2024-11-05
10 of 23 funding edges