Type
Funder
Country
—
Documents
14
through any edge
Papers
0
authorship edges
Awards made
3
2 grant numbers
Named as funder
14
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 Tays has funded
3 awards under 2 distinct grant numbers, across 3 documents. A further 14 documents name it as a funder without a grant number — a weaker claim, counted separately.
A systematic approach to study the effects of acquisition parameters and biological factors on computerized mammography analysis using ex vivo human tissue: A protocol descriptiongrant MJ006L · 2025-08-18Transfer learning for the generalization of artificial intelligence in breast cancer detection: a case-control studygrant MJ006L · 2023-12-19Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual datagrant X51001 · 2024-08-09
3 of 17 funding edges