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| Published in: | Discover Oncology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1868847811565453312 |
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| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Oncology |
| description | |
| discipline_display | Endocrinology |
| discipline_facet | Endocrinology |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:95145 |
| institution | FRELIP |
| journal_source_facet | Discover Oncology |
| last_indexed | 2026-06-24T03:35:58.774Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia Endocrinology General Endocrinology |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Endocrinology General Endocrinology |
| subject_facet | Endocrinology General Endocrinology |
| title | Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia |
| title_alt | La integración basada en aprendizaje automático desarrolla una nueva firma pronóstica relacionada con lisosomas asociada con el pronóstico y el panorama de infiltración inmune en la leucemia mieloide aguda L'intégration basée sur l'apprentissage automatique développe une nouvelle signature pronostique liée au lysosome associée au pronostic et au paysage d'infiltration immunitaire dans la leucémie myéloïde aiguë Integração baseada em aprendizado de máquina desenvolve uma nova assinatura prognóstica relacionada a lisossomos associada ao prognóstico e ao panorama de infiltração imune na leucemia mieloide aguda |
| title_auth | Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia |
| title_es_txt | La integración basada en aprendizaje automático desarrolla una nueva firma pronóstica relacionada con lisosomas asociada con el pronóstico y el panorama de infiltración inmune en la leucemia mieloide aguda |
| title_fr_txt | L'intégration basée sur l'apprentissage automatique développe une nouvelle signature pronostique liée au lysosome associée au pronostic et au paysage d'infiltration immunitaire dans la leucémie myéloïde aiguë |
| title_full | Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia |
| title_fullStr | Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia |
| title_full_unstemmed | Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia |
| title_pt_txt | Integração baseada em aprendizado de máquina desenvolve uma nova assinatura prognóstica relacionada a lisossomos associada ao prognóstico e ao panorama de infiltração imune na leucemia mieloide aguda |
| title_short | Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia |
| title_sort | machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia |
| topic | Endocrinology General Endocrinology |
| url | https://link.springer.com/article/10.1007/s12672-026-05463-6 |