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OverviewAI-generated summary
Beatriz Cuevas’ research focuses on the clinical characteristics, prognosis, and treatment of myeloproliferative neoplasms. Her work has investigated the frequency and prognostic value of hydroxycarbamide resistance in polycythemia vera, as well as the risk of thrombosis in patients treated with hydroxyurea. Cuevas has also examined the high mortality rate in COVID-19 patients with myeloproliferative neoplasms following abrupt withdrawal of ruxolitinib. Additionally, her research includes the safety and efficacy of direct oral anticoagulants for myeloproliferative neoplasms and the safety and efficacy of asciminib treatment in chronic myeloid leukemia patients in real-world clinical practice. Cuevas holds an h-index of 17 with 94 publications and 908 citations.
Metrics
- h-index: 17
- Publications: 94
- Citations: 908
Selected Publications
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Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models (2025)
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- Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models
- Contrastive Learning for Conversational Emotion Recognition Using Knowledge Enhancement of Large Language Models
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