Detalhe da pesquisa
1.
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach.
Br J Psychiatry
; : 1-10, 2022 Feb 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-35225756
2.
Using polygenic scores and clinical data for bipolar disorder patient stratification and lithium response prediction: machine learning approach - CORRIGENDUM.
Br J Psychiatry
; 221(2): 494, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35505515
3.
International multi-site survey on the use of online support groups in bipolar disorder.
Nord J Psychiatry
; 71(6): 473-476, 2017 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-28696841
4.
[Post partum depression: future perspectives]. / Depressione post partum: prospettive future.
Riv Psichiatr
; 47(3): 195-9, 2012.
Artigo
em Italiano
| MEDLINE | ID: mdl-22825433
5.
Differences in telomere length between patients with bipolar disorder and controls are influenced by lithium treatment.
Pharmacogenomics
; 21(8): 533-540, 2020 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-32372689
6.
Assessment of Response to Lithium Maintenance Treatment in Bipolar Disorder: A Consortium on Lithium Genetics (ConLiGen) Report.
PLoS One
; 8(6): e65636, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23840348
7.
The PDLIM5 gene and lithium prophylaxis: an association and gene expression analysis in Sardinian patients with bipolar disorder.
Pharmacol Res
; 57(5): 369-73, 2008 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-18456508