National Center for Advancing Translational Sciences

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.

2020 · 574 Zit.

Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency

Christine M. Cutillo, Karlie R. Sharma, Luca Foschini et al.

2020 · 306 Zit.

Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities

Navid Hasani, Faraz Farhadi, Michael Morris et al.

2021 · 50 Zit.

The Global academic research organization network: Data sharing to cure diseases and enable learning health systems

Masanori Fukushima, Christopher Austin, Norihiro Sato et al.

2018 · 14 Zit.

Embracing Generative Artificial Intelligence in Clinical Research and Beyond

Henry P. Foote, Chuan Hong, Mohd Anwar et al.

2025 · 13 Zit.

Digital Health Technology Research Funded by the National Institutes of Health

Pablo Cure, Thomas Radman, Jamie Mihoko Doyle et al.

2025 · 6 Zit.

A Path to Real-World Evidence in Critical Care Using Open-Source Data Harmonization Tools

Smith F. Heavner, Wesley R. Anderson, Rahul Kashyap et al.

2023 · 4 Zit.

Real-world data for 21^st-century medicine: The clinical and translational science awards program perspective

Pablo Cure, Sanae ElShourbagy Ferreira, Joshua P. Fessel et al.

2023 · 3 Zit.

Demonstration of Interoperability Between MIDRC and N3C: A COVID-19 Severity Prediction Use Case

Heather M. Whitney, Rachel Baccile, Hui Li et al.

2025 · 0 Zit.

AI and machine learning in nutrition: the promise, the challenge, and recommendations

Diana M. Thomas, Rodolphe Barrangou, Sharon I. Kirkpatrick et al.

2025 · 0 Zit.

An analysis of the Clinical and Translational Science Award pilot project portfolio using data from Research Performance Progress Reports

Sulamita Klein, Michael Baiocchi, Jordan Rodu et al.

2022 · 0 Zit.