Dear Colleagues,

Bioinformatics algorithms and tools are relevant in the context of human health to identify biomarkers, predict onset, simulate molecular and protein interaction, evaluate treatment outcomes, and thus support the design of disease treatments and therapies.

Biomedical data modeling, processing and analysis can be used to analyze and correlate large datasets of information related to human health, allowing the identification of relevant features and patterns that can be useful to support clinicians in diagnosis and treatment as well as governments for health-related policies.

Clinical and biological data contain relevant information and patterns that must be extracted by a well-defined signal processing procedure to furnish quantitative measurements to physicians that can use these extracted information in decision support systems for scientific hypotheses and medical diagnoses. For instance, the application of artificial-intelligence-based modules is considered a relevant support for the analysis of biosignals and bioimages and their clinical-related extracted features in the early detection, investigation, diagnosis, classification, management and treatment of many pathological conditions and diseases, as well as in the context of the COVID-19 pandemic.

The design and definition of innovative biomedical informatics algorithms and biomedical data processing strategies are always highly required for the analysis of the huge quantity of available data to be applied in the human health and environmental context.

This Special Issue hosts research results regarding recent advances and trends concerning novel algorithms and tools for biomedical solutions as well as the analysis of biomedical signals and images in clinical practice.

Topics of interest include, but are not limited to:

• Data modeling and management for health related information
• Large-scale biological and biomedical databases
• Biomedical data integration and solutions
• Algorithms for health informatics
• Prediction and inference models for biological and health-related information
• Scientific workflows and process management in health informatics
• High-performance solutions for bioinformatics and biomedicine
• Architectures for bioinformatics and biomedicine
• Clinical and biological signal management
• Bioengineering solutions for epidemiological phenomena
• Bioengineering solutions for human health

Dr. Pierangelo Veltri
Dr. Patrizia Vizza
Dr. Giuseppe Tradigo
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• bioinformatics
• biomedical signal processing
• biomedical informatics
• artificial intelligence
• predictive algorithm
• clinical decision support systems
• early disease detection