Bioengineering Models and Methods for Disease Prevention and Innovative Treatment
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: closed (31 May 2024) | Viewed by 3259
Special Issue Editors
Interests: bioinformatics; proteomics; health informatics; clinical decision support systems; medical/clinical informatics; biomedical informatics
Interests: biomedical signal processing; medical image analysis; clinical decision support systems; medical/clinical informatics
Special Issues, Collections and Topics in MDPI journals
Interests: bioinformatics; computational proteomics and genomics; information extraction from health data
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
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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Keywords
- bioinformatics
- biomedical signal processing
- biomedical informatics
- artificial intelligence
- predictive algorithm
- clinical decision support systems
- early disease detection
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