Healthcare is stepping into the era of personalized approaches, tailoring treatment based on precision disease patterns. Diseases diagnostics at an advanced-stage is helpful to higher survival rates, lower treatment morbidity, and lower healthcare costs. As the first step in personalized medicine, diagnosis aims to characterize diseases based on patient-specific information and to intercept diseases at an early stage and, ideally, prevent them. However, there are still a number of biological and pathological processes that cannot be analyzed and diagnosed. If personalized medicine moves toward a more preventive and comprehensive model, advanced diagnostic tools are highly demanded globally.
The comprehensive multi-omics analysis in biological systems, including transcriptomics, proteomics, metabolomics and nano-omics, has important theoretical significance and practical application value. It can not only deepen the understanding of the biological system, but also provide molecular biological basis for the detection of various physiological and pathological processes. However, current methods have challenges in clinical applications for diagnostics and management. Therefore, it is essential to develop valuable tools for multi-omics analysis combining with various technologies.
To promote clinical-level applications, this Research Topic focuses on Biomedical interfaces with the engineering and informatics for healthcare. Potential topics include but not limited to:
- Advanced multi-omics research include transcriptomics, proteomics, metabolomics, nano-omics, etc.
- Advanced healthcare in monitoring, prevention, diagnosis, therapeutics, and prognosis by multi-omics research
- Biological, medical, and engineering advances regarding omics research, methodologies, technologies, as well as clinical applications
The contributors are encouraged to submit their application results as a form of original research article, review article, letter, mini review, etc. which will guide the readers to understand the current situation of healthcare and the future prospect.
Healthcare is stepping into the era of personalized approaches, tailoring treatment based on precision disease patterns. Diseases diagnostics at an advanced-stage is helpful to higher survival rates, lower treatment morbidity, and lower healthcare costs. As the first step in personalized medicine, diagnosis aims to characterize diseases based on patient-specific information and to intercept diseases at an early stage and, ideally, prevent them. However, there are still a number of biological and pathological processes that cannot be analyzed and diagnosed. If personalized medicine moves toward a more preventive and comprehensive model, advanced diagnostic tools are highly demanded globally.
The comprehensive multi-omics analysis in biological systems, including transcriptomics, proteomics, metabolomics and nano-omics, has important theoretical significance and practical application value. It can not only deepen the understanding of the biological system, but also provide molecular biological basis for the detection of various physiological and pathological processes. However, current methods have challenges in clinical applications for diagnostics and management. Therefore, it is essential to develop valuable tools for multi-omics analysis combining with various technologies.
To promote clinical-level applications, this Research Topic focuses on Biomedical interfaces with the engineering and informatics for healthcare. Potential topics include but not limited to:
- Advanced multi-omics research include transcriptomics, proteomics, metabolomics, nano-omics, etc.
- Advanced healthcare in monitoring, prevention, diagnosis, therapeutics, and prognosis by multi-omics research
- Biological, medical, and engineering advances regarding omics research, methodologies, technologies, as well as clinical applications
The contributors are encouraged to submit their application results as a form of original research article, review article, letter, mini review, etc. which will guide the readers to understand the current situation of healthcare and the future prospect.
