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Machine learning-based integration develops a novel lysosome-related prognostic signature associated with prognosis and immune infiltration landscape in acute myeloid leukemia

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Published in:Discover Oncology
Format: Online Article RSS Article
Published: 2026
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container_title Discover Oncology
description
discipline_display Endocrinology
discipline_facet Endocrinology
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journal_source_facet Discover Oncology
last_indexed 2026-06-24T03:35:58.774Z
publishDate 2026
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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