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1. Wearable data from subjects playing Super Mario, sitting university exams, or performing physical exercise help detect acute mood episodes via self-supervised learning

2. Association of polygenic score and the involvement of cholinergic and glutamatergic pathways with lithium treatment response in patients with bipolar disorder.

4. Exploring the genetics of lithium response in bipolar disorders

5. Lithium response in bipolar disorder is associated with focal adhesion and PI3K-Akt networks: a multi-omics replication study

6. Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients

8. Correction: Combining schizophrenia and depression polygenic risk scores improves the genetic prediction of lithium response in bipolar disorder patients

9. Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder

11. Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder.

12. Wearable data from students, teachers or subjects with alcohol use disorder help detect acute mood episodes via self-supervised learning (Preprint)

13. HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders

16. Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorder.

17. Lithium Response in Bipolar Disorder is Associated with Focal Adhesion and PI3K-Akt Networks: A Multi-omics Replication Study

18. Automated mood disorder symptoms monitoring from multivariate time-series sensory data: Getting the full picture beyond a single number.

19. Effects of malnutrition on length of stay in patients hospitalized in an acute psychiatric ward

20. Immunogenetics of lithium response and psychiatric phenotypes in patients with bipolar disorder

21. Mood stabilizers and antipsychotics during breastfeeding: Focus on bipolar disorder

22. Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: Machine learning approach

23. Association of Polygenic Score for Schizophrenia and HLA Antigen and Inflammation Genes With Response to Lithium in Bipolar Affective Disorder: A Genome-Wide Association Study

24. Association of polygenic score for major depression with response to lithium in patients with bipolar disorder

26. Identifying neurocognitive heterogeneity in Older Adults with Bipolar Disorder: a cluster analysis

27. Evaluating maintenance electroconvulsive therapy in Bipolar Disorders: 3-year mirror-image study

36. Investigating polygenic burden in age at disease onset in bipolar disorder: Findings from an international multicentric study

37. High genetic loading of schizophrenia predicts poor response to lithium in patients with bipolar disorder: A polygenic score and cross-trait genetic analysis

38. Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder

39. Estudio de los cambios regionales en el flujo sanguíneo cerebral mediante tomografía por emisión de fotoón simple y su correlación neuropsicológica en el trastorno bipolar

40. Analysis of the Influence of microRNAs in Lithium Response in Bipolar Disorder

41. Genome-wide association study of 40,000 individuals identifies two novel loci associated with bipolar disorder.

42. Changes in Sexual Functioning Questionnaire Short-Form—Spanish Version

43. Neurocognitive Dysfunctions in Euthymic Bipolar Patients With and Without Prior History of Alcohol Use

44. Cardiovascular risk in patients with bipolar disorder

50. Effects on Weight and Outcome of Long-term Olanzapine-Topiramate Combination Treatment in Bipolar Disorder

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