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:

Biomedical Materials publishes original research findings and critical reviews that contribute to our knowledge about the composition, properties, and performance of materials for all applications relevant to human healthcare.

The goal of the Journal is as a forum for the interdisciplinary field of neural engineering where neuroscientists, neurobiologists and engineers can publish their work in one periodical that bridges the gap between neuroscience and engineering. The Journal publishes articles in the field of neural engineering at the molecular, cellular and systems levels.The scope of the Journal encompasses experimental, computational, theoretical, clinical and applied aspects of brain-machine (computer) interface neural interfacing neurotechnology neuroelectronics neuromodulation neural prostheses neural control neuro-rehabilitation neurorobotics optical neural engineering neural circuits: artificial & biological neuromorphic engineering neural tissue regeneration neural signal processing theoretical and computational neuroscience systems neuroscience translational neuroscience.

Machine Learning: Engineering is a multidisciplinary open access journal dedicated to the application of machine learning (ML), artificial intelligence (AI) and data-driven computational methods across all areas of engineering. The journal also publishes research that presents methodological, theoretical, or conceptual advances in machine learning and AI with applications to engineering.

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.

Nano Futures™ is a multidisciplinary, high-impact journal publishing fundamental and applied research at the forefront of nanoscience and technological innovation. Nano Futures’ mission is to reflect the diverse and multidisciplinary field of nanoscience and nanotechnology that now brings together researchers from across physics, chemistry, biomedicine, materials science, engineering, and industry.
Built upon IOP Publishing’s longstanding reputation in serving nanoscience, but with a forward-looking approach, Nano Futures aims to publish urgent work that truly sets the direction of new and emerging fields. Areas of particular interest to the nanoscience community include (but are not limited to):

• Nanotechnology for monitoring, preventing, and therapies of emergent diseases
• Nanomaterials and devices for emergent energy conversion, harvesting, efficiency, and storage
• Scalable atomically precise manufacturing
• Self-assembled (opto)electronics based on engineered molecular systems
• Nanotechnology in quantum computing
• Nano informatics and autonomous design
• Nano optics and nano photonics

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.