Bruno
Paiva

Profesional Investigador

Foto de Bruno

Foto de R.

R.
Ayala Diaz

Publicaciones en las que colabora con R. Ayala Diaz (6)

2023

Transcriptional and genomic characterization of measurable residual disease in acute myeloid leukaemia
British Journal of Haematology

2022

The transcriptomic landscape of elderly acute myeloid leukemia identifies B7H3 and BANP as a favorable signature in high-risk patients
Frontiers in Oncology, Vol. 12

2021

Measurable residual disease in elderly acute myeloid leukemia: Results from the PETHEMA-FLUGAZA phase 3 clinical trial
Blood Advances, Vol. 5, Núm. 3, pp. 760-770
The mutational landscape of acute myeloid leukaemia predicts responses and outcomes in elderly patients from the pethema-flugaza phase 3 clinical trial
Cancers, Vol. 13, Núm. 10

2017

Analytical and clinical validation of a novel in-house deep-sequencing method for minimal residual disease monitoring in a phase II trial for multiple myeloma
Leukemia

2014

Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma
Blood, Vol. 123, Núm. 20, pp. 3073-3079