Applications of machine learning algorithms to predict therapeutic outcomes in depression: a meta-analysis and systematic review
Y Lee, RM Ragguett, RB Mansur, JJ Boutilier… - Journal of affective …, 2018 - Elsevier
Background No previous study has comprehensively reviewed the application of machine
learning algorithms in mood disorders populations. Herein, we qualitatively and …
learning algorithms in mood disorders populations. Herein, we qualitatively and …
The emergence, implementation, and future growth of pharmacogenomics in psychiatry: a narrative review
Psychotropic medication efficacy and tolerability are critical treatment issues faced by
individuals with psychiatric disorders and their healthcare providers. For some people, it can …
individuals with psychiatric disorders and their healthcare providers. For some people, it can …
Sex-specific transcriptional signatures in human depression
Major depressive disorder (MDD) is a leading cause of disease burden worldwide. While the
incidence, symptoms and treatment of MDD all point toward major sex differences, the …
incidence, symptoms and treatment of MDD all point toward major sex differences, the …
[HTML][HTML] Effects of antidepressant treatment on neurotrophic factors (BDNF and IGF-1) in patients with major depressive disorder (MDD)
A Mosiołek, J Mosiołek, S Jakima, A Pięta… - Journal of clinical …, 2021 - mdpi.com
Major depressive disorder (MDD) remains the subject of ongoing research as a multifactorial
disease and a serious public health problem. There is a growing body of literature focusing …
disease and a serious public health problem. There is a growing body of literature focusing …
Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach
S Hornstein, V Forman-Hoffman, A Nazander… - Digital …, 2021 - journals.sagepub.com
Objective Predicting the outcomes of individual participants for treatment interventions
appears central to making mental healthcare more tailored and effective. However, little …
appears central to making mental healthcare more tailored and effective. However, little …
[HTML][HTML] Global long non-coding RNA expression in the rostral anterior cingulate cortex of depressed suicides
Y Zhou, PE Lutz, YC Wang, J Ragoussis… - Translational …, 2018 - nature.com
Long non-coding RNAs (lncRNAs) are an emerging class of regulatory RNA that may be
implicated in psychiatric disorders. Here we performed RNA-sequencing in the rostral …
implicated in psychiatric disorders. Here we performed RNA-sequencing in the rostral …
[HTML][HTML] miRNAs in depression vulnerability and resilience: novel targets for preventive strategies
N Lopizzo, V Zonca, N Cattane, CM Pariante… - Journal of Neural …, 2019 - Springer
The exposure to stressful experiences during the prenatal period and through the first years
of life is known to affect the brain developmental trajectories, leading to an enhanced …
of life is known to affect the brain developmental trajectories, leading to an enhanced …
Investigation of miR-1202, miR-135a, and miR-16 in major depressive disorder and antidepressant response
LM Fiori, JP Lopez, S Richard-Devantoy… - International Journal …, 2017 - academic.oup.com
Background Major depressive disorder is a debilitating illness, which is most commonly
treated with antidepressant drugs. As the majority of patients do not respond on their first …
treated with antidepressant drugs. As the majority of patients do not respond on their first …
microRNA profiling in atherosclerosis, diabetes, and migraine
C Tana, MA Giamberardino, F Cipollone - Annals of medicine, 2017 - Taylor & Francis
Abstract microRNAs (miRNAs) are a broad group of endogenous small non-coding
molecules that reduce the transcription of mRNA and play a key role in post-transcriptional …
molecules that reduce the transcription of mRNA and play a key role in post-transcriptional …
Transcriptomic and epigenomic biomarkers of antidepressant response
R Belzeaux, R Lin, C Ju, MA Chay, LM Fiori… - Journal of affective …, 2018 - Elsevier
Background Antidepressant treatment is associated with a high rate of poor response, and
thus, biomarker development is warranted. Methods We aimed to synthesize studies …
thus, biomarker development is warranted. Methods We aimed to synthesize studies …