Journal of
Biomedical And Health Informatics

J-BHI publishes original papers describing recent advances in the field of biomedical and health informatics where information and communication technologies intersect with health, healthcare, life sciences and biomedicine.
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5.772
Impact Factor
0.01284
Eigenfactor
1.248
Article Influence Score
Prof Dimitrios I. Fotiadis
Editor-in-chief
Editor-in-chief

"Dr. Fotiadis is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.

Dr. Fotiadis’ main research interests include wearable systems, multiscale modelling and intelligent processing of medical and related... Read more

"Dr. Fotiadis is Prof. of Biomedical Engineering and Director of the Unit of Medical Technology and Intelligent Information Systems (MEDLAB), University of Ioannina, Ioannina, Greece. Dr Fotiadis is the founder of MEDLAB, which now is one of the leading centers in Europe in Biomedical Engineering with activities ranging from the development of health monitoring systems to big data management and multiscale modelling. The Unit is an active center for many R&D projects and is considered as a center of excellence for human tissues modelling activities with international collaborations with the research community, industry and public organizations. Dr Fotiadis is affiliated researcher of the Biomedical Research Dept. of the Institute of Molecular Biology and Biotechnology, FORTH, and member of the board of Michailideion Cardiac Center.

Dr. Fotiadis’ main research interests include wearable systems, multiscale modelling and intelligent processing of medical and related data. He developed wearable systems for the monitoring, treatment, motivation and coaching for patients with neurodegenerative diseases and other chronic conditions. Those systems combine a set of sensors and biosensors with decision making tools and patient/ecosystem feedback, as well as behavioral models and patient adherence mechanisms. In modelling, he developed multiscale models for the prediction of atheromatic plaque growth, based on realistic reconstruction of arteries from various imaging modalities. He pioneered the modelling of complex human structures, such as bones, to perform in silico clinical trials of various biomedical systems. He employed machine learning techniques to develop predictive models for chronic diseases, exploiting medical, lifestyle, environmental, and genetic data which are integrated with existing knowledge and models to improve diagnostic and predictive accuracy. He works in the harmonization and integration of data from longitudinal cohorts.

Dr. Fotiadis is the recipient of many awards, including the Academy of Athens Award and active member of the IEEE Engineering in Medicine and Biology Society, being a member of the Technical Committee of Biomedical and Health Informatics and the Chairman of the IEEE EMBS Greek Chapter. Dr. Fotiadis coordinated the organization of many EMBS conferences and other events."

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Updates

The IEEE Journal of Biomedical And Health Informatics Volume 26, Issue 6 has been published.
IEEE Journal of

Biomedical And Health Informatics

JUNE 2022
VOLUME 26
ISSUE 6
IJBHA9
26
Inferring the Individual Psychopathologic Deficits with Structural Connectivity in a Longitudinal Cohort of Schizophrenia
The prediction of schizophrenia-related psychopathologic deficits is exceedingly important in the fields of psychiatry and clinical practice. However, objective association of the brain structure alterations to the illness clinical symptoms is challenging. Although, schizophrenia has been characterized as a brain... Read more
Special Issue on Augmented Reality for Bioinformatics
In this issue, vol. 26, issue 6, June 2022, 5 papers are published related to the Special Issue on Augmented Reality for Bioinformatics. Please click here to view them, with links in IEEE XPLORE. BDBB: A Novel Beta-distribution-based Biclustering Algorithm for... Read more
Special Issues
Special Issue on AI-driven Informatics, Sensing, Imaging and Big Data Analytics for Fighting the COVID-19 Pandemic
In this issue, vol. 26, issue 6, June 2022, 1 paper is published related to the Special Issue on AI-driven Informatics, Sensing, Imaging and Big Data Analytics for Fighting the COVID-19 Pandemic. Please click here to view it, with link... Read more
Special Issues
Sensor Informatics
In this issue, vol. 26, issue 6, June 2022, 7 papers are published related to the topic Sensor Informatics. Please click here to view them, with link in IEEE XPLORE. Multimodal Biosensing for Vestibular Network-Based Cybersickness DetectionLi, Gang; McGill, Mark; Brewster,... Read more
Special Issues
Imaging Informatics
In this issue, vol. 26, issue 6, June 2022, 17 papers are published related to the topic Imaging Informatics. Please click here to view them, with link in IEEE XPLORE. Inferring the Individual Psychopathologic Deficits with Structural Connectivity in a Longitudinal... Read more
Special Issues
Medical Informatics
In this issue, vol. 26, issue 6, June 2022, 10 papers are published related to the topic Medical Informatics. Please click here to view them, with link in IEEE XPLORE. Predicting the macronutrient composition of mixed meals from dietary biomarkers in... Read more
Special Issues
Bioinformatics
In this issue, vol. 26, issue 6, June 2022, 3 papers are published related to the topic Bioinformatics. Please click here to view it, with link in IEEE XPLORE. DeepRCI: predicting ATP-binding proteins using the residue-residue contact informationZhang, Zhaoxi; Zhao, Yulan;... Read more

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