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1. A multi-centre longitudinal study analysing multiple sclerosis disease-modifying therapy prescribing patterns during the COVID-19 pandemic

2. The impact of COVID-19 infection on multiple sclerosis disease course across 12 countries: a propensity-score-matched cohort study.

5. Data from A Metabolically Optimized, Noncytotoxic Low-Dose Weekly Decitabine/Venetoclax in MDS and AML

6. Table S1 from A Metabolically Optimized, Noncytotoxic Low-Dose Weekly Decitabine/Venetoclax in MDS and AML

7. P488: SAFETY AND EFFICACY OF VENETOCLAX PLUS “7 + 3” CHEMOTHERAPY IN NEWLY DIAGNOSED AML

8. P524: PHARMACODYNAMICALLY DEFINED METRONOMIC DOSING OF DECITABINE AND VENETOCLAX IN ACUTE MYELOID LEUKEMIA

9. A Metabolically Optimized, Noncytotoxic Low-Dose Weekly Decitabine/Venetoclax in MDS and AML

12. A weekly low-dose regimen of decitabine and venetoclax is efficacious and less myelotoxic in a racially diverse cohort

15. A Co-Management Model For Myeloid Malignancies that Evolved During the COVID-19 Pandemic

16. A Non-Cytotoxic Regimen Using a Weekly Low Dose Decitabine and Venetoclax for MDS and AML in a Real World Cohort

18. Venetoclax Plus Intensive Chemotherapy in AML and Advanced MDS: Assessment of Leukemia Stem Cell Eradication By High-Resolution MRD Assay

19. A Co-Management Model for Myeloid Malignancies That Evolved during the COVID-19 Pandemic.

20. Impact of COVID-19 on case fatality rate of patients with cancer during the Omicron wave

23. Efficacy of booster doses in augmenting waning immune responses to COVID-19 vaccine in patients with cancer

24. The development of “automated visual evaluation” for cervical cancer screening: The promise and challenges in adapting deep‐learning for clinical testing

25. Multi-spectral Vascular Oximetry of Rat Dorsal Spinal Cord

33. Effective and Safe Molecular-Pharmacodynamic Once Weekly Dosing of Decitabine and Venetoclax Is a Highly Effective and Well-Tolerated Induction Therapy for AML: Interim Results of a Phase 2 Trial

35. The development of "automated visual evaluation" for cervical cancer screening: The promise and challenges in adapting deep‐learning for clinical testing.

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