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AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials
Clinical trials in nonalcoholic steatohepatitis (NASH) require histologic scoring for assessment of inclusion criteria and endpoints. However, guidelines for scoring key features have led to variability in interpretation, impacting clinical trial outcomes. We developed an artificial intelligence (AI...
Autores principales: | Iyer, Janani S., Pokkalla, Harsha, Biddle-Snead, Charles, Carrasco-Zevallos, Oscar, Lin, Mary, Shanis, Zahil, Le, Quang, Juyal, Dinkar, Pouryahya, Maryam, Pedawi, Aryan, Hoffman, Sara, Elliott, Hunter, Leidal, Kenneth, Myers, Robert P., Chung, Chuhan, Billin, Andrew N., Watkins, Timothy R., Resnick, Murray, Wack, Katy, Glickman, Jon, Burt, Alastair D., Loomba, Rohit, Sanyal, Arun J., Montalto, Michael C., Beck, Andrew H., Taylor-Weiner, Amaro, Wapinski, Ilan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168404/ https://www.ncbi.nlm.nih.gov/pubmed/37162870 http://dx.doi.org/10.1101/2023.04.20.23288534 |
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