Consensus-based recommendations on priority activities to address acute kidney injury in children: a modified Delphi consensus statement
SL Goldstein, A Akcan-Arikan, R Alobaidi… - JAMA network …, 2022 - jamanetwork.com
Importance Increasing evidence indicates that acute kidney injury (AKI) occurs frequently in
children and young adults and is associated with poor short-term and long-term outcomes …
children and young adults and is associated with poor short-term and long-term outcomes …
Early-diagnosis of major depressive disorder: From biomarkers to point-of-care testing
Major depressive disorder, or depression, is one of the most common mental illnesses
worldwide. This prevalent mental disorder can trigger numerous concurrent problems …
worldwide. This prevalent mental disorder can trigger numerous concurrent problems …
Implementation of pharmacogenomics: Where are we now?
S Medwid, RB Kim - British Journal of Clinical Pharmacology, 2024 - Wiley Online Library
Pharmacogenomics (PGx), examining the effect of genetic variation on interpatient variation
in drug disposition and response, has been widely studied for several decades. However, as …
in drug disposition and response, has been widely studied for several decades. However, as …
Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication
JB Joyce, CW Grant, D Liu… - Translational …, 2021 - nature.com
Combination antidepressant pharmacotherapies are frequently used to treat major
depressive disorder (MDD). However, there is no evidence that machine learning …
depressive disorder (MDD). However, there is no evidence that machine learning …
[HTML][HTML] Machine learning for metabolomics research in drug discovery
DD Martinelli - Intelligence-Based Medicine, 2023 - Elsevier
In a pharmaceutical context, metabolomics is an underexplored area of research.
Nevertheless, its utility in clinical pathology, biomarker discovery, metabolic subtyping, and …
Nevertheless, its utility in clinical pathology, biomarker discovery, metabolic subtyping, and …
[HTML][HTML] Translational models of stress and resilience: An applied neuroscience methodology review
Stress, encompassing psychological, physical, and physiological challenges, is an important
factor affecting an individual's well-being and potentially leading to psychiatric …
factor affecting an individual's well-being and potentially leading to psychiatric …
Molecular pathological diagnosis of thyroid tumors using spatially resolved metabolomics
The pathological diagnosis of benign and malignant follicular thyroid tumors remains a
major challenge using the current histopathological technique. To improve diagnosis …
major challenge using the current histopathological technique. To improve diagnosis …
Rate-limiting enzymes in cardiometabolic health and aging in humans
LD Parnell, KS McCaffrey, AW Brooks, CE Smith… - Lifestyle …, 2023 - karger.com
Abstract Introduction: Rate-limiting enzymes (RLEs) are innate slow points in metabolic
pathways, and many function in bio-processes related to nutrient sensing. Many RLEs carry …
pathways, and many function in bio-processes related to nutrient sensing. Many RLEs carry …
Multi-omics characterization of early-and adult-onset major depressive disorder
CW Grant, EF Barreto, R Kumar… - Journal of personalized …, 2022 - mdpi.com
Age at depressive onset (AAO) corresponds to unique symptomatology and clinical
outcomes. Integration of genome-wide association study (GWAS) results with additional …
outcomes. Integration of genome-wide association study (GWAS) results with additional …
The pharmacogenomics of selective serotonin reuptake inhibitors
LM García-Marín, JA Rabinowitz, Z Ceja… - …, 2022 - Taylor & Francis
Antidepressant medications are frequently used as the first line of treatment for depression.
However, their effectiveness is highly variable and influenced by genetic factors. Recently …
However, their effectiveness is highly variable and influenced by genetic factors. Recently …