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3. To do no harm — and the most good — with AI in health care

4. Comprehensive proteogenomic characterization of rare kidney tumors

5. International comparisons of laboratory values from the 4CE collaborative to predict COVID-19 mortality

6. Functional organization of the maternal and paternal human 4D Nucleome

7. Pan-cancer proteogenomics characterization of tumor immunity

9. Ontology-based systematic classification and analysis of coronaviruses, hosts, and host-coronavirus interactions towards deep understanding of COVID-19

10. Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data

11. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium

12. Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

13. Deep learning integrates histopathology and proteogenomics at a pan-cancer level

14. Proteogenomic insights suggest druggable pathways in endometrial carcinoma

15. Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation

16. Pan-cancer proteogenomics connects oncogenic drivers to functional states

17. Proteogenomic data and resources for pan-cancer analysis

18. International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium

19. Informative missingness: What can we learn from patterns in missing laboratory data in the electronic health record?

21. SurvMaximin: Robust federated approach to transporting survival risk prediction models

22. International electronic health record-derived post-acute sequelae profiles of COVID-19 patients

23. A comprehensive update on CIDO: the community-based coronavirus infectious disease ontology

27. Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework.

28. The 2023 Report on the Proteome from the HUPO Human Proteome Project

31. Pan-cancer proteogenomics characterization of tumor immunity

32. The 2023 Report on the Proteome from the HUPO Human Proteome Project

33. Assessing the Potential of GPT-4 to Annotate Medical Notes Across Different Languages and Countries: A Model Evaluation Study

36. Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortium

37. What Every Reader Should Know About Studies Using Electronic Health Record Data but May Be Afraid to Ask

40. New and improved proteomics technologies for understanding complex biological systems: Addressing a grand challenge in the life sciences

41. Functional proteogenomics reveals biomarkers and therapeutic targets in lymphomas

42. Deep learning integrates histopathology and proteogenomics at a pan-cancer level

43. Proteogenomic insights suggest druggable pathways in endometrial carcinoma

44. Pan-cancer proteogenomics connects oncogenic drivers to functional states

45. Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation

46. Proteogenomic data and resources for pan-cancer analysis

48. A high-stringency blueprint of the human proteome

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