Suchergebnisse - "Salama, Mohamed E."

PubPharm (162)

1

Progression from Prediabetes to Diabetes in a Diverse U.S. Population : A Machine Learning Model

enthalten in: Diabetes technology & therapeutics | 2024

von Aoki, J. | Khalid, O. | Kaya, C. | +3

2

MANIFEST : Pelabresib in Combination With Ruxolitinib for Janus Kinase Inhibitor Treatment-Naïve Myelofibrosis

enthalten in: Journal of clinical oncology : official journal of the American Society of Clinical Oncology | 2023

von Mascarenhas, J. | Kremyanskaya, M. | Patriarca, A. | +21

3

A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis

enthalten in: Clinical cancer research : an official journal of the American Association for Cancer Research | 2023

von Mascarenhas, J. | Migliaccio, A. | Kosiorek, H. | +31

4

CKD Progression Prediction in a Diverse US Population : A Machine-Learning Model

enthalten in: Kidney medicine | 2023

von Aoki, J. | Kaya, C. | Khalid, O. | +6

5

Deep learning applications in visual data for benign and malignant hematologic conditions : a systematic review and visual glossary

enthalten in: Haematologica | 2023

von Srisuwananukorn, A. | Salama, M. | Pearson, A.

6

CXCL8/CXCR2 signaling mediates bone marrow fibrosis and is a therapeutic target in myelofibrosis

enthalten in: Blood | 2023

von Dunbar, A. | Kim, D. | Lu, M. | +36

CommentIn: Blood. 2023 May 18;141(20):2415-2416. - PMID 37200061

7

Computational pathology in 2030 : a Delphi study forecasting the role of AI in pathology within the next decade

enthalten in: EBioMedicine | 2023

von Berbís, M. | McClintock, D. | Bychkov, A. | +25

8

Computational pathology in 2030 : a Delphi study forecasting the role of AI in pathology within the next decade

enthalten in: EBioMedicine | 4 January 2023

von Álvaro Berbís, M. | McClintock, D. | Bychkov, A. | +25

9

Hematology : basic principles and practice

Erschienen: Philadelphia, PA, Elsevier, [2023]

eighth edition

von Hoffman, R. | Benz, E. | Silberstein, L. | +4

10

Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity : a retrospective cohort study

enthalten in: The Lancet. Digital health | 2022

von Byeon, S. | Madugundu, A. | Garapati, K. | +26

CommentIn: Lancet Digit Health. 2023 Feb;5(2):e56. - PMID 36707187

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