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1. Additional file 5 of Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

2. Additional file 5 of The presence of circulating genetically abnormal cells in blood predicts risk of lung cancer in individuals with indeterminate pulmonary nodules

3. Additional file 4 of The presence of circulating genetically abnormal cells in blood predicts risk of lung cancer in individuals with indeterminate pulmonary nodules

4. Additional file 1 of The presence of circulating genetically abnormal cells in blood predicts risk of lung cancer in individuals with indeterminate pulmonary nodules

5. Additional file 3 of The presence of circulating genetically abnormal cells in blood predicts risk of lung cancer in individuals with indeterminate pulmonary nodules

6. Additional file 6 of The presence of circulating genetically abnormal cells in blood predicts risk of lung cancer in individuals with indeterminate pulmonary nodules

7. Additional file 6 of Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

8. Additional file 2 of The presence of circulating genetically abnormal cells in blood predicts risk of lung cancer in individuals with indeterminate pulmonary nodules

9. Additional file 1 of Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

10. Additional file 4 of Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

11. Additional file 8 of Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

12. Additional file 7 of Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

13. Additional file 3 of Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

14. Additional file 2 of Development and validation of an AI-enabled digital breast cancer assay to predict early-stage breast cancer recurrence within 6 years

15. Validation of the Attitudes Towards Psychological Online Interventions Questionnaire Among Black Americans: Cross-cultural Confirmatory Factor Analysis (Preprint)

16. ASSESSMENT OF MODEL CONVERSION FROM GENESYS TO MAGIC SYSTEM OF SYSTEMS ARCHITECT FOR MODEL-BASED SYSTEMS ENGINEERING INTEROPERABILITY

17. A laser parameter study on enhancing proton generation from microtube foil targets

18. Validation of the Attitudes Towards Psychological Online Interventions Questionnaire Among Black Americans: Cross-cultural Confirmatory Factor Analysis

19. High-charge 10 GeV electron acceleration in a 10 cm nanoparticle-assisted hybrid wakefield accelerator

21. MOESM1 of Multiple immunofluorescence assay identifies upregulation of Active β-catenin in prostate cancer

22. Multiple immunofluorescence assay identifies upregulation of Active β-catenin in prostate cancer

24. Additional file 2: of Effects of pathogenic CNVs on physical traits in participants of the UK Biobank

25. Additional file 2: of Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders

26. The Quantitative Ethology of the Zebra Finch: A Study in Comparitive Psychometrics

27. Additional file 2: of Development and clinical application of an integrative genomic approach to personalized cancer therapy

28. Additional file 9: Figure S6. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

29. Additional file 4: Figure S2. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

32. Additional file 8: Figure S5. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

33. Additional file 10: Figure S7. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

34. Additional file 3: Figure S1. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

35. Additional file 3: Figure S1. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

36. Additional file 14: Figure S10. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

37. Additional file 11: Figure S8. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

38. Additional file 7: Figure S4. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

39. Additional file 9: Figure S6. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

42. Additional file 7: Figure S4. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

43. Additional file 8: Figure S5. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

44. Additional file 5: of Development and clinical application of an integrative genomic approach to personalized cancer therapy

45. Additional file 4: Figure S2. of Development and clinical application of an integrative genomic approach to personalized cancer therapy

46. Urban Land Markets and Urban Land Development: an Examination of Three Brazilian Cities: Brasília, Curitiba and Recife

48. Connected simplicial algebras are Andr��-Quillen complete

50. Hot Electron and Pair Production from the Texas Petawatt Laser Irradiating Thick Gold Targets

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