243 An AI-driven, Translational Science Benefits Model (TSBM) approach to assess the real-world impacts of NCATS’ CTSA Collaborative and Innovative Acceleration Award Initiative
Kristopher Bough, Francisco Leyva, Monica Donerson, Soju Chang · 2026
Read 243 An AI-driven, Translational Science Benefits Model (TSBM) approach to assess the real-world impacts of NCATS’ CTSA Collaborative and Innovative Acceleration Award Initiative by Kristopher Bough, Francisco Leyva, Monica Donerson, Soju Chang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13172958.txt.
Description
Kristopher Bough and three co-authors describe a 2026 study of how a federal award program turns research into real-world gains. The program funds teams that work together to move medical ideas into practice. To judge its effects, the team used a benefits model that tracks gains in care, health, and wider social outcomes.
The team used a secure language model to build benefit profiles for fifty-five awards given between 2016 and 2022, working from final progress reports. Experts checked a sample of the profiles by hand to guard against errors, and the profiles held up. The awards showed gains across all four benefit areas, most often through better clinical care guidelines. The study shows that such profiles can be built quickly and safely, giving funders a clearer view of what their money achieved.
Catalog record
| CREATOR | Kristopher Bough, Francisco Leyva, Monica Donerson, Soju Chang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |