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Elsevier

Journals in Life and medical sciences

  • Simulation Modelling Practice and Theory

    • ISSN: 1569-190X
    The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.Paper submission is solicited on:• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;• methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, blockchains, artificial intelligence (AI), internet of things (IoT), education, transaction handling, etc.;• simulation languages and environments including those, specific to distributed computing, cloud, fog and edge computing, high performance computers or computer networks, etc.;• distributed and real-time simulation, simulation interoperability;• tools for high performance computing simulation, including dedicated architectures and parallel computing.Papers covering applications should be presented in such a way that the separate steps in the process, such as model development, computer implementation of the derived model, mathematical and scalability problems encountered and validation/verificat... with real data become transparent to all readers.Theory may play an important role in a paper, but it should be presented in the context of its applicability to the work being described. For application-oriented readers it is essential that theoretical papers should cover the following aspects: why the theory is relevant and how it can be applied, what is the novelty of the approach and what are the benefits and objectives of a new theory, method or algorithm; what experience has been obtained in applying the approach and what innovations did result.(Variations from these prototypes, such as comprehensive surveys of active research areas, critical reviews of existing work, and book reviews, will be considered provided they make a clear contribution to the field.)Special issues on specific topics will be published from time to time; proposals for such issues are invited.
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  • Computers in Biology and Medicine

    • ISSN: 0010-4825
    Computers in Biology and Medicine, 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 EquationsSynthesis of Biomedical Systems: SimulationsSpecial Medical Data Processing MethodsSpecial Purpose ComputersClinical Data Processing for Real TimeClinical and Experimental UseMedical Diagnosis and Medical Record ProcessingBiomedical EngineeringMedical InformaticsBioinform... Applications of the Internet and World Wide WebHuman GenomicsProteomicsFu... Brain StudiesArticles 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.CBM does not consider submissions:-describ... research using fundamental in silico tools, like basic molecular docking not supported by detailed molecular dynamic simulations, post modelling/dynamics analysis, estimation and mathematical modelling and advanced algorithmic treatment with the data sets, or by detailed experimental validations.-with unclear dataset division into training/validation/... sets and/or imprecise downstream task analysis, specifically for image segmentation papers.-with minor architecture/model modifications and only slight increase in performance validation parameters (accuracy, Dice, etc) and/or lack of comparison with real state-of-the-art methods.
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  • Artificial Intelligence in Medicine

    • ISSN: 0933-3657
    Artificial Intelligence in Medicine publishes original articles from a wide variety of interdisciplinary perspectives concerning the theory and practice of artificial intelligence (AI) in medicine, medically-oriented human biology, and health care.Artificial intelligence in medicine may be characterized as the scientific discipline pertaining to research studies, projects, and applications that aim at supporting decision-based medical tasks through knowledge- and/or data-intensive computer-based solutions that ultimately support and improve the performance of a human care provider.Artificial Intelligence in Medicine considers for publication manuscripts that have both:• Potential high impact in some medical or healthcare domain; • Strong novelty of method and theory related to AI and computer science techniques.Artificia... Intelligence in Medicine papers must refer to real-world medical domains, considered and discussed at the proper depth, from both the technical and the medical points of view. The inclusion of a clinical assessment of the usefulness and potential impact of the submitted work is strongly recommended.Artifici... Intelligence in Medicine is looking for novelty in the methodological and/or theoretical content of submitted papers. Such kind of novelty has to be mainly acknowledged in the area of AI and Computer Science. Methodological papers deal with the proposal of some strategy and related methods to solve some scientific issues in specific domains. They must show, usually through an experimental evaluation, how the proposed methodology can be applied to medicine, medically-oriented human biology, and health care, respectively. They have also to provide a comparison with other proposals, and explicitly discuss elements of novelty. Theoretical papers focus on more fundamental, general and formal topics of AI and must show the novel expected effects of the proposed solution in some medical or healthcare field.Following the information explosion brought by the diffusion of Internet, social networks, cloud computing, and big-data platforms, Artificial Intelligence in Medicine has broadened its perspective. Particular attention is given to novel research work pertaining to:AI-based clinical decision making;Medical knowledge engineering;Knowledg... and agent-based systems;Computationa... intelligence in bio- and clinical medicine;Intelligent and process-aware information systems in healthcare and medicine;Natural language processing in medicine;Data analytics and mining for biomedical decision support;New computational platforms and models for biomedicine;Intellig... exploitation of heterogeneous data sources aimed at supporting decision-based and data-intensive clinical tasks;Intelligent devices and instruments;Automate... reasoning and meta-reasoning in medicine;Machine learning in medicine, medically-oriented human biology, and healthcare;AI and data science in medicine, medically-oriented human biology, and healthcare;AI-based modeling and management of healthcare pathways and clinical guidelines;Models and systems for AI-based population health;AI in medical and healthcare education;Methodolog... philosophical, ethical, and social issues of AI in healthcare, medically-oriented human biology, and medicine.If you are considering submitting to Artificial Intelligence in Medicine, make sure that your paper meets the quality requirements mentioned above. English exposition must also be clear and revised with due care. Authors are kindly requested to revise their manuscripts with the help of co-authors that are fluent in English or language editing services before submitting their contribution. Papers written in poor English are likely to be rejected.The mere application of well-known or already published algorithms and techniques to medical data is not regarded as original research work of interest for Artificial Intelligence in Medicine, but it may be suitable for other venues.Artificial Intelligence in Medicine features the following kinds of papers:Original research contributions: Theoretical and/or methodological papers about novel approaches;Methodolo... reviews/surveys: Papers that collect, classify, describe, and critically analyze research designs, methods and procedures;Position papers: Papers that gather, describe, and analyze the scientific challenges of a specific field, founding them on the related literature;Editorial... Editors will occasionally publish editorials;Guest editorials: Editors can invite guest editors of special issues to publish editorials. Unsolicited editorials will not be considered;Letters to the editor: Letters from readers shortly discussing and commenting on a topic of interest, for example based on recently published articles in the journal Artificial Intelligence in Medicine;Book reviews: A critical review of recently published books;Erratum: Some specific corrections to results previously published in the journal Artificial Intelligence in Medicine;Historical perspectives: Papers that describe and critically review some specific aspects in the history of scientific contributions and applications;In memoriam: Papers describing the life and the main scientific contributions of scientists passed away, having had an important role in the area of artificial intelligence in medicine;PhD projects: Early publications about more recent research trends, having the goal of allowing PhD candidates to explain their PhD research project and to share it with other scientists interested in the topic. Such type of papers should focus on the overall goals and approaches of PhD research projects, without considering in detail the specific scientific results obtained, which would be the focus of other research articles.Special Issues are regularly published and included among regular issues. Artificial Intelligence in Medicine special issues deal with current theoretical/methodol... research or convincing applications related to AI in medicine. Special Issues are managed by one or more guest editors who are outstanding experts on the selected topic.Special Issues of Artificial Intelligence in Medicine are directly proposed to potential guest editors by the Editor in Chief, also according to suggestions from the editorial board members."External" proposals of Special Issues will no longer be considered.Artificia... Intelligence in Medicine does not publish conference volumes or conference papers. However, selected and high-quality research results presented earlier at conferences may be published in Artificial Intelligence in Medicine, in the form of a thoroughly revised (rephrased) and extended (including new research results) original research paper.Information for authors and further details about the editorial process can be found in the Guide for Authors section of the Artificial Intelligence in Medicine web page.
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  • Computerized Medical Imaging and Graphics

    • ISSN: 0895-6111
    Computerized Medical Imaging and Graphics publishes pioneering research addressing complex computational and visualization challenges in medical imaging, including machine learning, computer vision, foundation models, generative AI and simulation, medical robotics, agentic AI, virtual and augmented reality, and quantum computing—fields that are transforming medical imaging and biomedical data science. The journal emphasizes algorithmic advances, novel methodologies and clinically oriented applications that drive disease screening, early detection, precision diagnosis, therapeutic intervention, prevention, monitoring, and telemedicine. Serving as a leading interdisciplinary platform for computing researchers, imaging scientists, engineers, and physicians, CMIG highlights AI-enabled imaging solutions that bridge methodological innovation with clinical translation.We welcome contributions on AI-driven and emerging computational methods for image acquisition, reconstruction, visualization, analysis, and interpretation, with particular focus on deep learning, generative AI, and agentic AI that enhance diagnostic accuracy, improve therapeutic efficacy, and enable precision medicine and minimally invasive interventions. Topics of interest include novel imaging and visualization techniques; AI and machine learning; augmented and virtual reality for surgery and therapy; computer-aided diagnosis; robotic and image-guided intervention; biomedical data fusion and visualization; autonomous agents; mobile and tele-imaging; and integration of imaging with genomic, transcriptomic, proteomic, video, and audio data.The journal covers a wide spectrum of modalities—MRI, CT, ultrasound, nuclear medicine, X-ray, microwave, endoscopy, digital pathology, optical and multiphoton microscopy, spatial omics, video, and sensory imaging—along with the convergence of imaging and non-imaging biomedical datasets to accelerate digital health and precision medicine.
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