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3,621 results on '"Hattori, N."'

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1. Survey on the Impact of the COVID-19 Pandemic on Patients with Parkinson’s Disease and Their Caregivers in Japan

2. Association Between Patient Preference for Inhaler Medications and Asthma Outcomes

3. Observational study of Safinamide as an add-on to levodopa monotherapy for Parkinson's disease patients with wearing-off in Japan

5. Ordering of mutations in acute myeloid leukemia with partial tandem duplication of MLL (MLL-PTD)

6. Safety and Efficacy of Lenvatinib Treatment in Child–Pugh A and B Patients with Unresectable Hepatocellular Carcinoma in Clinical Practice: A Multicenter Analysis

7. Comprehensive mutational analysis of primary and relapse acute promyelocytic leukemia

8. OC 06.3 Final Analysis Results from a Phase Iii Study of Emicizumab Prophylaxis for Acquired Hemophilia A (AGEHA)

9. Sputum Vitamin D Binding Protein (VDBP) GC1S/1S Genotype Predicts Airway Obstruction: A Prospective Study in Smokers with COPD

10. LNK (SH2B3): paradoxical effects in ovarian cancer

11. SETDB1 accelerates tumourigenesis by regulating the WNT signalling pathway

12. A Prospective Cohort Study to Define the Clinical Features and Outcome of Lung Cancers Harboring HER2 Aberration in Japan (HER2-CS STUDY)

13. KPT-330 has antitumour activity against non-small cell lung cancer

18. 45O Clonal evolution of dedifferentiated liposarcoma

19. Characterization of sputum biomarkers for asthma–COPD overlap syndrome

21. Airway inflammation in Japanese COPD patients compared with smoking and nonsmoking controls

22. EP08.01-064 Serum NY-ESO-1 and XAGE1 Antibodies Predict and Monitor Clinical Responses to Immune Checkpoint Therapy for NSCLC

27. Mendelian Randomisation Study of Smoking, Alcohol, and Coffee Drinking in Relation to Parkinson's Disease

31. Patient perspectives on Parkinson’s disease therapy in Japan and the United States: results of two patient surveys

32. Characterization of sputum biomarkers for asthma–COPD overlap syndrome [Erratum]

38. Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

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