Bioheat is a specialized field of biomedical engineering that involves investigating the processes of heat energy generation, heat transfer, heat absorption, and thermal management within the human body, and the prediction of thermally induced end damage to tissue. Over the years, this field led to various methods to quantify the thermoregulation processes in our body, the diagnostic markers associated with human disease, the effectiveness of thermally motivated treatment and management in cases of health disorders, the preservation and vitrification of stem cells/tissues/organs, and the ecological endurance in space and the ocean.
In the human body, any physical quantity can be evaluated or converted using energy forms such as light, pressure/sound, temperature, and electro/magnetic forces. Due to the interdependence of energy forms in the human body, bio-thermal medical devices, methods, and models represent an exciting frontier in healthcare technology, offering novel methods for the diagnosis, treatment, and monitoring of various medical conditions.
This Research Topic on recent developments and advances in bio-thermal medical devices, methods, and models holds great promise for revolutionizing healthcare delivery, enabling personalized medicine, and improving patient outcomes across diverse clinical applications. As research in this field continues to evolve, we can expect to see further innovations that will shape the future of healthcare.
The goal of this Research Topic is to bring together new developments and advances within this field and provide valuable insights to biomedical engineers, electrical engineers, mechanical engineers, and students. The aim is to delve into the exciting world of thermal therapy, non-invasive monitoring devices, point-of-care diagnostics, precision medicine, wearable sensors, and artificial intelligence (AI) and machine learning (ML) methods to identify disease patterns and risks and generate missing data. This Research Topic welcomes work on focused areas of well-established methods, such as technical foundations, applications, multidisciplinary aspects, validation procedures, compatibility with humans or animals, and measurement uncertainties.
Manuscripts focused on the following areas are of particular interest to this Research Topic:
• Recent developments in biological heat transfer mathematical models
• Recent advances in thermal treatment planning, monitoring devices, and methods
• Non-invasive/innovative monitoring devices and methods for measuring thermo-physical changes in infectious disease, cancer, cardiovascular disorders, musculoskeletal disorders, etc.
• Innovative and futuristic technologies for measuring thermo-physical properties and thermal treatment within the human body (e.g. biomedical robots, capsule sensors, tactile and implantable sensors, robotic or remote surgery)
• AI and ML models to identify disease patterns and risks from measured thermo-physical data, and use of generative AI to generate missing thermo-physical data
• Recent advances in blood perfusion and metabolism assessment devices and methods
• Internet of Medical Things (IoMT) for remote monitoring, home care, low-resourced clinical settings, and integration with teleconsultation
Bioheat is a specialized field of biomedical engineering that involves investigating the processes of heat energy generation, heat transfer, heat absorption, and thermal management within the human body, and the prediction of thermally induced end damage to tissue. Over the years, this field led to various methods to quantify the thermoregulation processes in our body, the diagnostic markers associated with human disease, the effectiveness of thermally motivated treatment and management in cases of health disorders, the preservation and vitrification of stem cells/tissues/organs, and the ecological endurance in space and the ocean.
In the human body, any physical quantity can be evaluated or converted using energy forms such as light, pressure/sound, temperature, and electro/magnetic forces. Due to the interdependence of energy forms in the human body, bio-thermal medical devices, methods, and models represent an exciting frontier in healthcare technology, offering novel methods for the diagnosis, treatment, and monitoring of various medical conditions.
This Research Topic on recent developments and advances in bio-thermal medical devices, methods, and models holds great promise for revolutionizing healthcare delivery, enabling personalized medicine, and improving patient outcomes across diverse clinical applications. As research in this field continues to evolve, we can expect to see further innovations that will shape the future of healthcare.
The goal of this Research Topic is to bring together new developments and advances within this field and provide valuable insights to biomedical engineers, electrical engineers, mechanical engineers, and students. The aim is to delve into the exciting world of thermal therapy, non-invasive monitoring devices, point-of-care diagnostics, precision medicine, wearable sensors, and artificial intelligence (AI) and machine learning (ML) methods to identify disease patterns and risks and generate missing data. This Research Topic welcomes work on focused areas of well-established methods, such as technical foundations, applications, multidisciplinary aspects, validation procedures, compatibility with humans or animals, and measurement uncertainties.
Manuscripts focused on the following areas are of particular interest to this Research Topic:
• Recent developments in biological heat transfer mathematical models
• Recent advances in thermal treatment planning, monitoring devices, and methods
• Non-invasive/innovative monitoring devices and methods for measuring thermo-physical changes in infectious disease, cancer, cardiovascular disorders, musculoskeletal disorders, etc.
• Innovative and futuristic technologies for measuring thermo-physical properties and thermal treatment within the human body (e.g. biomedical robots, capsule sensors, tactile and implantable sensors, robotic or remote surgery)
• AI and ML models to identify disease patterns and risks from measured thermo-physical data, and use of generative AI to generate missing thermo-physical data
• Recent advances in blood perfusion and metabolism assessment devices and methods
• Internet of Medical Things (IoMT) for remote monitoring, home care, low-resourced clinical settings, and integration with teleconsultation
