Journal Finder

The scope of Biofabrication focuses on the state-of-the-art research and development of biomanufacturing processes, process science, modeling and design. That is, using cells, proteins and biomaterials as building blocks to manufacture biological systems and/or therapeutic products. It includes the following topics:

Bioinspiration and Biomimetics publishes research involving the study and distillation of principles and functions found in biological systems that have been developed through evolution, and application of this knowledge to produce novel and exciting basic technologies and new approaches to solving scientific problems. It provides a forum for interdisciplinary research which acts as a conduit to facilitate the two-way flow of ideas and understanding between the extensive bodies of knowledge of the different disciplines. It has two principal aims: to draw on biology to enrich engineering and to draw from engineering to enrich biology.The journal aims to include input from across all intersecting areas of both fields. In biology, this would include work in all fields from physiology to ecology, with either zoological or botanical focus. In engineering, this would include both design and practical application of biomimetic or bioinspired devices and systems. Typical areas of interest include: systems, designs and structure communication and navigation cooperative behaviour self-organizing biological systems self-healing and self-assembly aerial locomotion and aerospace applications of biomimetics biomorphic surface and subsurface systems marine dynamics: swimming and underwater dynamics applications of novel materials biomechanics; including movement, locomotion, fluidics cellular behaviour sensors and senses biomimetic or bioinformed approaches to geological exploration.

Machine Learning: Health is a multidisciplinary open access journal dedicated to the application of machine learning, artificial intelligence (AI) and data-driven computational methods across healthcare and the medical, biological, clinical, and health sciences. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to medicine and health sciences.

Physical Biology publishes articles in the interdisciplinary field bridging biology and the physical sciences. This journal focuses on research in which physics-based approaches lead to new insights into biological systems at all scales of space and time, and all levels of complexity. Articles describing the generation or explanation of experimental data are strongly encouraged. Physical Biology accepts contributions from a wide range of biological sub-fields and covers topics such as: intracellular processes, e.g. cytoskeleton dynamics, cellular transport, cell division signalling, gene regulation and metabolic networks developmental processes physical aspects of disease, e.g. cancer progression, viruses, amyloid formation neuronal dynamics population dynamics, ecology, and evolution biomolecular structure and interactions, e.g. protein folding, DNA packaging cells and their microenvironment, e.g. cell mechanics, chemotaxis, extracellular matrix, biofilms novel physical techniques to probe biological systems systems and synthetic biology

Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation.

Papers are published on topics including:

• applied physiology in illness and health
• electrical bioimpedance, optical and acoustic measurement techniques
• advanced methods of time series and other data analysis
• biomedical and clinical engineering
• in-patient and ambulatory monitoring
• point-of-care technologies
• novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems.
• measurements in molecular, cellular and organ physiology and electrophysiology
• physiological modeling and simulation
• novel biomedical sensors, instruments, devices and systems
• measurement standards and guidelines.

The journal encourages publication of data and code as well as results.

Physiological Measurement is an interdisciplinary journal. Authors of each article are therefore asked to ensure that at least the title and abstract of their article are understandable to researchers in other disciplines and to supply suitable keywords as a concise method of describing its general research topic in both clinical and scientific terms.