Back to search

Article

Translational bioinformatics and machine learning framework for biomarker discovery, disease prediction, and patient profiling for precision medicine

2026-05-27

Abstract excerpt

Precision medicine aims to advance our ability from a “one-size-fits-all” approach to personalized and predictive healthcare across diverse populations. It promotes integration of multi-omics and phenotypic data to understand disease mechanisms and discover novel biomarkers and risk factors, which could be used to predict and prevent critical diseases in individual patients across diverse populations. The potentia...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
a6915395-e66e-5f95-b388-2dc2b6cf62d6
DOI
10.64898/2026.05.23.26353961
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Translational bioinformatics and machine learning framework for biomarker discovery, disease prediction, and patient profiling for precision medicineDOI 10.64898/2026.05.23.26353961
Select a neighboring publication to make it the new centre.