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Norepinephrine Plasma Membrane Transport Proteins

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Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

The international journal of neuropsychopharmacology 25964505
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographi...
Age Factors Attention Deficit Disorder with Hyperactivity Body Weight Brain Central Nervous System Stimulants Child Cotinine Drug Therapy, Computer-Assisted Female Humans Lead Magnetic Resonance Imaging Male Methylphenidate Norepinephrine Plasma Membrane Transport Proteins Polymorphism, Genetic Prognosis Receptors, Adrenergic, alpha-2 Rest Stroop Test Support Vector Machine Treatment Outcome
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Machine Learning Tool for New Selective Serotonin and Serotonin-Norepinephrine Reuptake Inhibitors.

Molecules (Basel, Switzerland) 39942741
Depression, a serious mood disorder, affects about 5% of the population. Currently, there are two groups of antidepressants that are the first-line treatment for depressive disorder: selective serotonin reuptake inhibitors and serotonin-norepinephrin...
Antidepressive Agents Humans Machine Learning Norepinephrine Plasma Membrane Transport Proteins Quantitative Structure-Activity Relationship Selective Serotonin Reuptake Inhibitors Serotonin and Noradrenaline Reuptake Inhibitors Serotonin Plasma Membrane Transport Proteins
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