BioMed Research International

Intelligent Informatics in Translational Medicine


Publishing date
26 Dec 2014
Status
Published
Submission deadline
08 Aug 2014

1National Taiwan Ocean University, Keelung, Taiwan

2Kyoto University, Kyoto, Japan

3China Medical University, Taichung, Taiwan

4Wayne State University, Detriot, USA

5University of Bristol, Bristol, UK


Intelligent Informatics in Translational Medicine

Description

Advances in information technologies are facilitating and accelerating research on molecular biology and medicine. But the increasing complexity and volume of biological data mean that more sophisticated computational techniques are still needed. Such methods must also be able to support new sensing techniques that are being developed to improve the quality of healthcare and medicine. The use of artificial intelligence, machine learning, and data mining can potentially play a significant role in addressing these important challenges. In 2013, we have published the first IIB special issue with high-quality original research articles. In order to continue this fruitful discussion, we would like to organize this special issue again for discovering more biological insights from genomics data. This special issue will focus on the challenges and solutions for information processes with an emphasis on forthcoming high throughput technology and systems biomedicine. The annual IIBM workshop ( https://sites.google.com/site/iibm2014/) brings together computer scientists, computational biologists, statisticians, and medical practitioners in order to present and discuss current topics on intelligent informatics in biology and medicine.

The special issue will provide an opportunity for academic and industry professionals to discuss the latest issues and progress in the area of biomedicine. The special issue will publish high-quality papers which are closely related to the various theories and practical applications in bioinformatics. In addition, we expect that the special issue will be a trigger for further related research and technology improvements in this important subject.

The special issue of this year aims to combine intelligent informatics and bioinformatics on diseases and translation medicine.

Potential topics include, but are not limited to:

  • Translational bioinformatics
  • Cancer genomics and epigennomics
  • PheWAS and GWAS for diseases
  • Medical signal/image processing
  • Computer-assisted surgery
  • Medical/healthcare informatics
  • Big data analysis on medicine


Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 717210
  • - Editorial

Intelligent Informatics in Translational Medicine

Hao-Teng Chang | Tatsuya Akutsu | ... | Tun-Wen Pai
  • Special Issue
  • - Volume 2015
  • - Article ID 731264
  • - Research Article

The TF-miRNA Coregulation Network in Oral Lichen Planus

Yu-Ling Zuo | Di-Ping Gong | ... | Yuan He
  • Special Issue
  • - Volume 2015
  • - Article ID 432012
  • - Research Article

Prediction of Metabolic Gene Biomarkers for Neurodegenerative Disease by an Integrated Network-Based Approach

Qi Ni | Xianming Su | ... | Weidong Tian
  • Special Issue
  • - Volume 2015
  • - Article ID 237969
  • - Research Article

A Heparan Sulfate-Binding Cell Penetrating Peptide for Tumor Targeting and Migration Inhibition

Chien-Jung Chen | Kang-Chiao Tsai | ... | Margaret Dah-Tsyr Chang
  • Special Issue
  • - Volume 2015
  • - Article ID 841956
  • - Research Article

Identification of Gene and MicroRNA Signatures for Oral Cancer Developed from Oral Leukoplakia

Guanghui Zhu | Yuan He | ... | Xin-Jian Xu
  • Special Issue
  • - Volume 2015
  • - Article ID 239654
  • - Review Article

A Survey on the Computational Approaches to Identify Drug Targets in the Postgenomic Era

Yan-Fen Dai | Xing-Ming Zhao
  • Special Issue
  • - Volume 2015
  • - Article ID 475062
  • - Resource Review

A Large-Scale Structural Classification of Antimicrobial Peptides

Hao-Ting Lee | Chen-Che Lee | ... | Kuan Y. Chang
  • Special Issue
  • - Volume 2015
  • - Article ID 402536
  • - Research Article

Predicting Flavin and Nicotinamide Adenine Dinucleotide-Binding Sites in Proteins Using the Fragment Transformation Method

Chih-Hao Lu | Chin-Sheng Yu | ... | Jin-Yi Chen
  • Special Issue
  • - Volume 2014
  • - Article ID 974316
  • - Research Article

Computational Biophysical, Biochemical, and Evolutionary Signature of Human R-Spondin Family Proteins, the Member of Canonical Wnt/β-Catenin Signaling Pathway

Ashish Ranjan Sharma | Chiranjib Chakraborty | ... | Ju-Suk Nam
  • Special Issue
  • - Volume 2014
  • - Article ID 398147
  • - Research Article

Detecting Epistatic Interactions in Metagenome-Wide Association Studies by metaBOOST

Mengmeng Wu | Rui Jiang
BioMed Research International
 Journal metrics
Acceptance rate31%
Submission to final decision67 days
Acceptance to publication30 days
CiteScore3.600
Impact Factor2.276
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