Advances in Biomarker Sciences and Technology

Open access

ISSN: 2543-1064

Advances in Biomarker Sciences and Technology

Open access

Editors in Chief

Prof. Luoping Zhang
Prof. Youhe Gao

Editorial Board

Advances in Biomarker Sciences and Technology (ABST) is a rigorously peer-reviewed, fully open access journal that aims to encompass all aspects of biomarker research, from biomarker development to it...

Advances in Biomarker Sciences and Technology (ABST) is a rigorously peer-reviewed, fully open access journal that aims to encompass all aspects of biomarker research, from biomarker development to its applications, clinical diagnosis and treatment to molecular epidemiology and toxicology; from precision medicine to drug development, and from nanotechnology to bioinformatics. ABST focuses on building upon the next generation of biomarkers to accelerate communication of the latest advances in their identification as well as applications. We strive to achieve this objective by providing a high-quality forum for the publication of biomarker-related investigations, including (but not limited to) general research articles elucidating topics in novel technologies, study designs or mathematical models, invited and selected reviews, short communications and editorials.

Editorial Board

1. Machine learning and IoT in healthcare: Recent advancements, challenges & future direction

2. Therapeutic potential of black seed oil in treating rheumatoid arthritis: Insights on biochemical and genetic analyses of inflammatory signaling transducer

3. A brief history of urine examination - From ancient uroscopy to 21st century urinomics

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Call for Papers

Special Issue on Urine: The Next Generation Biomarker Source

Submission deadline: rolling submission

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News

Advances in Biomarker Sciences and Technology is now indexed in Scopus

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AI Reads Urine

#AI reads Urine# Identification of potential NAD-related biomarkers of recurrent miscarriage risk

#AI reads Urine# An exploratory study of urinary proteome in trigeminal neuralgia

#AI reads Urine# Dynamic urinary proteomics integrates single-cell and spatial transcriptomics to reveal tumour microenvironment and predict immunotherapy response in biliary tract cancer

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