Translational bioinformatics and data science for biomarker discovery in mental health: an analytical review.

ABSTRACT: Translational bioinformatics and data science play a crucial role in biomarker discovery as it enables translational research and helps to bridge the gap between the bench research and the bedside clinical applications. Thanks to newer and faster molecular profiling technologies and reducing costs, there are many opportunities for researchers to explore the molecular and physiological mechanisms of diseases. Biomarker discovery enables researchers to better characterize patients, enables early detection and intervention/prevention and predicts treatment responses. Due to increasing prevalence and rising treatment costs, mental health (MH) disorders have become an important venue for biomarker discovery with the goal of improved patient diagnostics, treatment and care. Exploration of underl

SUBMITTER: Bhuvaneshwar K 

PROVIDER: S-EPMC10944574 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature