- Qingfeng ChenGuangxi UniversityInterests: Bioinformatics; Data Mining
Dear Colleagues,
It is an increasing growth of the biological and medical health data with the development of advanced biotechnologies such as single-cell sequencing technology. The artificial intelligence technology has shown powerful capability in mining the biological and medical health data. Although significant progresses have been made via artificial intelligence technology, there remain challenges and gaps between the computer theories and real-world application requirements. Therefore, using the artificial intelligence technology for biological and medical health data analysis.
This special issue intends to provide an international forum for researchers to show-case the up-to-date results on artificial intelligence in biological and medical health data analysis. We invite submissions of high-quality papers on original research and review, which have not been published previously. Topics of interest include, but are not limited to:
· Artificial intelligence for multi-omics data analysis
· Artificial intelligence for health-Informatics and medical Informatics
· Artificial intelligence for drug data analysis
· Artificial intelligence for biomedical text mining
· Artificial intelligence for medical image data
· Artificial intelligence for medical health data mining
Dr. Wei Lan and Dr. Qingfeng Chen
Guest Editors
Manuscripts should be submitted via our online editorial system at https://imr.propub.com by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. Research articles, reviews as well as short communications are preferred. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office to announce on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. The Article Processing Charge (APC) in this open access journal is 2500 USD. Submitted manuscripts should be well formatted in good English.
- Open Access Original ResearchA Machine Learning Model Based on Genetic and Traditional Cardiovascular Risk Factors to Predict Premature Coronary Artery DiseaseBenrong Liu, Lei Fang, Yujuan Xiong, Qiqi Du, ... Shi-Ming LiuFront. Biosci. (Landmark Ed) 2022, 27(7), 211; https://doi.org/10.31083/j.fbl2707211(This article belongs to the Special Issue Artificial intelligence in biological and medical health data analysis)63Downloads229Views