Computers in Biology and Medicine, a companion title to Informatics in Medicine Unlocked, is a medium of international communication of the revolutionary advances being made in the application of the computer to the fields of bioscience and medicine.

The Journal will focus on such areas as:

    Analysis of Biomedical Systems: Solutions of Equations
    Synthesis of Biomedical Systems: Simulations
    Special Medical Data Processing Methods
    Special Purpose Computers
    Clinical Data Processing for Real Time
    Clinical and Experimental Use
    Medical Diagnosis and Medical Record Processing
    Biomedical Engineering
    Medical Informatics
    Bioinformatics
    Medical Applications of the Internet and World Wide Web
    Human Genomics
    Proteomics
    Functional Brain Studies

The publication policy is to publish:

    New, original articles that have been appropriately reviewed by competent scientific people,
    Surveys of developments in the fields,
    Pedagogical papers covering specific areas of interest, and
    Book reviews pertinent to the field.

Articles which examine the following topics of special interest are being featured in Computers in Biology and Medicine: Computer aids to the analysis of biochemical systems, computer aids to biocontrol-systems engineering, neuronal simulation by digital-computer gating components, automatic computer analysis of pictures of biological and medical importance, use of computers by commercial pharmaceutical and chemical organizations, radiation-dosage computers, and accumulating and recalling individual medical records, real-time languages, interfaces to patient monitors, clinical chemistry equipment, data handling and display in nuclear medicine and therapy.

Special Issue on Building digital twins for personalized cardiovascular medicine
Submission Date: 2024-09-01

Digital twins offer a virtual, dynamic and high-fidelity replica of a patient-specific condition. They are increasingly adopted in cardiovascular medicine for individual risk assessment, outcome prediction, and tailored therapy planning. Predictive computational frameworks, which rely on the physical knowledge of a system, have paved the way towards achieving these goals. The integration of physics-driven models with data-driven tools capable of identifying task-specific patterns and correlations from data has gained traction in recent year and is expediting the process.Despite the growing capabilities of computational models and the extensive availability of patient-specific data (in vivo imaging, clinical data and biomarkers), several challenges related to feasibility, methodology and performance need to be addressed related to the building of a cardiovascular digital twin. This Special Issue aims to showcase the latest and most innovative advancements in the implementation of digital twins for cardiovascular medicine.

Overseeing Editor:

Prof. Kristen M. Meiburger, Ph.D

Guest editors:

Dr. Claudio Chiastra
Polytechnic of Turin Department of Mechanical and Aerospace Engineering
claudio.chiastra@polito.it

Dr. John F LaDisa
Medical College of Wisconsin

Dr. Selene Pirola
Delft University of Technology

Dr. Francesco Sturla 
IRCCS San Donato Hospital

Dr. Simone Saitta
1) Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, Amsterdam, The Netherlands
2) Informatics Institute, University of Amsterdam, Amsterdam, The Netherlands

Manuscript submission information:

You are invited to submit your manuscript at any time before the submission deadline 1st September 2024. Please select “VSI: Cardiovascular digital twins” as your article type. For any inquiries about the appropriateness of contribution topics, please contact Dr. Claudio Chiastra via claudio.chiastra@polito.it

Keywords:

Digital twin; Personalized medicine; Precision medicine; Patient-specific analysis; Clinical data; Cardiovascular imaging; Computational modeling; Computational simulations; Artificial intelligence; Machine learning