8 citations · 8 across the 1 of their papers we have counts for
3 papers
Enhancing Lung Cancer Treatment Outcome Prediction through Semantic Feature Engineering Using Large Language Models
MunHwan Lee, Shaika Chowdhury, Xiaodi Li +7
Accurate prediction of treatment outcomes in lung cancer remains challenging due to the sparsity, heterogeneity, and contextual overload of real-world electronic health data. Tradi…
Launching Insights: A Pilot Study on Leveraging Real-World Observational Data from the Mayo Clinic Platform to Advance Clinical Research
Yue Yu, Xinyue Hu, Sivaraman Rajaganapathy +15
Backgrounds: Artificial intelligence (AI) is transforming healthcare, yet translating AI models from theoretical frameworks to real-world clinical applications remains challenging.…
Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction
Shaika Chowdhury, Sivaraman Rajaganapathy, Lichao Sun +2
In this study, we investigated the potential of GPT-3 for the anti-cancer drug sensitivity prediction task using structured pharmacogenomics data across five tissue types and evalu…