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Картирование медицинской науки: результаты интеллектуального анализа больших данных
Objective: Analysis of the current global agenda in medical science.
Material and methods: The article proposes an approach to building a medical research landscape based on semantic analysis and mapping of medical topics. For this purpose, 2252 topics from English-language articles published in 2024 related to the field of medicine were vectorized, the embeddings were obtained using the Jina model (jina-embeddings-v3).
Results: Within the framework of the conducted research, the scientific and technological agenda of the world medical science was mapped, it covers 25 thematic clusters. The clusters are related to technologies for the diagnosis, treatment and prevention of diseases, nosologies, systems and complexes of diseases, platform S&T areas in the field of life sciences, organization and health policy, digitalization, pharmaceuticals and related to medicine areas. The article also presents the most significant topics in each cluster, taking into account their mention in the scientific literature for 2024.
Conclusion: Understanding the global agenda in medical science and the most relevant technological trends is the key to developing innovative technologies in this field. The results of the study can become an information basis for choosing priorities and focusing measures to support science and technology in the field of medicine.