2 papers
cs.CL2026
Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages
Mohammadreza Ghaffarzadeh-Esfahani, Nahid Yousefian, Ebrahim Heidari-Farsani +4
Extracting clinical information from medical transcripts in low-resource languages remains a significant challenge in healthcare natural language processing (NLP). This study evalu…
cs.LG2025
DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model
Mohammadreza Ghaffarzadeh-Esfahani, Ali Motahharynia, Nahid Yousefian +3
Drug discovery is a complex and resource-intensive process, making early prediction of approval outcomes critical for optimizing research investments. While classical machine learn…