AI Techniques: Transforming Computational Biology Revolution

Published Date: 8/08/2024

Discover how artificial intelligence is transforming our understanding of biological systems, from biomarker discovery to personalized medicine.

BMC Artificial Intelligence is calling for submissions to our Collection, Computational biology  AI techniques for understanding biological systems. This Collection aims to showcase research that applies AI, machine learning, and bioinformatics to address key challenges in computational biology.

Recent advances in computational biology have harnessed the power of artificial intelligence and computational techniques for transformative discoveries in biology and medicine. These have led to novel findings in protein structure predictions, identifying disease biomarkers, and accelerating drug discovery processes.

We invite contributions that examine a wide range of topics relating to the application of AI to model and analyze complex biological systems, including but not limited to 

AI-driven biomarker discovery

Integrative approaches in computational biology

Bioinformatics for personalized medicine

AI applications in drug discovery

Bioimage analysis using machine learning

AI in genomics and proteomics

AI in neuroscience research

AI in ecological and environmental biology

The application of AI in bioimage analysis has enabled automated and high-throughput analysis of biological images, revolutionizing research in cell biology and pathology. Dr. Khanh's research interests focus on applying artificial intelligence in multidisciplinary studies, especially Bioinformatics, Biomedical, and other related fields.

This Collection supports and amplifies research related to SDG 3  Good Health & Well-Being, SDG 9  Industry, Innovation & Infrastructure.If you would like more information before submitting, please email Alison Cuff, the editor for BMC Artificial Intelligence, at alison.cuff@biomedcentral.com.

FAQS:

Q: What is the main focus of this Collection?

A: The main focus of this Collection is to showcase research that applies AI, machine learning, and bioinformatics to address key challenges in computational biology.

Q: What are some examples of topics that can be explored in this Collection?

A: Some examples of topics that can be explored in this Collection include AI-driven biomarker discovery, integrative approaches in computational biology, bioinformatics for personalized medicine, and more.

Q: How can I submit my research to this Collection?

A: If you would like more information before submitting, please email Alison Cuff, the editor for BMC Artificial Intelligence, at alison.cuff@biomedcentral.com.

Q: What are the benefits of using AI in computational biology?

A: The application of AI in computational biology has led to novel findings in protein structure predictions, identifying disease biomarkers, and accelerating drug discovery processes.

Q: What are the Sustainable Development Goals (SDGs) that this Collection supports?

A: This Collection supports and amplifies research related to SDG 3: Good Health & Well-Being, SDG 9: Industry, Innovation & Infrastructure.

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