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Annals of Hematology
|
February 24, 2020
Post-remission therapy of adults aged 60 and older with acute myeloid leukemia in first complete remission: role of treatment intensity on the outcome
B Bouchacourt, M A Hospital, C Zemmour, et al.
Acta Anaesthesiologica Scandinavica
|
January 10, 2018
Early prognostic factors in septic shock cancer patients: a prospective study with a proteomic approach
D Mokart, C Saillard, C Zemmour, et al.
European Journal of Haematology
|
November 30, 2023
Azacitidine-venetoclax versus azacitidine salvage treatment for primary induction failure or first relapsed acute myeloid leukaemia patients
C Petit, C Saillard, B Mohty, et al.
Blood Cancer Journal
|
June 4, 2020
A chemogenomic approach to identify personalized therapy for patients with relapse or refractory acute myeloid leukemia: results of a prospective feasibility study
A Collignon, M A Hospital, C Montersino, et al.
Nature Communications
|
July 2, 2025
Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides
I Garberis, V Gaury, C Saillard, et al.
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of 6
Search research articles
Search
Showing results (51-60 of 55) with videos related to
Sort By:
Page
of 6
You have reached the last page of results.
This site can display upto 55 results.
Annals of Hematology
|
February 24, 2020
Post-remission therapy of adults aged 60 and older with acute myeloid leukemia in first complete remission: role of treatment intensity on the outcome
B Bouchacourt, M A Hospital, C Zemmour, et al.
Acta Anaesthesiologica Scandinavica
|
January 10, 2018
Early prognostic factors in septic shock cancer patients: a prospective study with a proteomic approach
D Mokart, C Saillard, C Zemmour, et al.
European Journal of Haematology
|
November 30, 2023
Azacitidine-venetoclax versus azacitidine salvage treatment for primary induction failure or first relapsed acute myeloid leukaemia patients
C Petit, C Saillard, B Mohty, et al.
Blood Cancer Journal
|
June 4, 2020
A chemogenomic approach to identify personalized therapy for patients with relapse or refractory acute myeloid leukemia: results of a prospective feasibility study
A Collignon, M A Hospital, C Montersino, et al.
Nature Communications
|
July 2, 2025
Deep learning assessment of metastatic relapse risk from digitized breast cancer histological slides
I Garberis, V Gaury, C Saillard, et al.
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of 6