Technological advances towards collecting disease information are moving fast. These technological solutions are now rapidly pushing the frontiers of our understanding at various systems levels; i) at the level of healthcare system by use of web-based electronic endpoint adjudication systems and innovative monitoring techniques, ii) at an individual level by integration of omics and eDiagnostic tools to study individual exposome and finally iii) understanding disease at a molecular level using single cell genomics technologies. This Research Topic will collect articles focusing on technological advances to move the technological frontiers in endocrinology forward at different systems levels. Though e-Diagnostics, monitoring, and e-Consult technologies are in their infancy, they have an enormous potential to improve access to endocrinologists by providing timely, highly rated, practice-changing clinical advice while reducing the need for patients to attend face-to-face office visits.
This Research Topic will encompass articles covering the following areas:
• Analysis and integration of exposome based on specific external factors such as individual physical activity and diet, along with transcriptomic and proteomic data, reflecting complex factors such as climate, urban vs. rural living and social conditions towards personalized systems medicine in endocrinology
• Access to web-based electronic endpoint adjudication systems and innovative monitoring techniques, along with eConsult and eDiagnositic solutions.
• Application and integration of omics data for disease diagnosis, prognosis and treatment including genomics; transcriptomics, epigenomics, and metagenomics (characterizing communities of microorganisms).
• Artificial intelligence and machine learning to help in personalized data management, follow up of subjects with endocrinal disorders & pregnant women and handling their clinical and epidemiological data, computational resources, scalability, privacy, and ethical concerns.
• Advances in remote monitoring during health (pregnancy) and disease (endocrine disorders)
• Analysis of the complex interplay between various biological modalities related to preterm birth and other pregnancy-related and endocrinal pathologies
• A digital resource to build better predictive models by combining datasets of various sizes and modularity.
Researchers and academicians are welcome to contribute original research papers or reviews in all aspects of endocrine specific research including, genomics, pharmacogenetics, e-monitoring and interdisciplinary approaches for diagnosis and treatment towards precision medicine and personalized therapies to this Research Topic.
Technological advances towards collecting disease information are moving fast. These technological solutions are now rapidly pushing the frontiers of our understanding at various systems levels; i) at the level of healthcare system by use of web-based electronic endpoint adjudication systems and innovative monitoring techniques, ii) at an individual level by integration of omics and eDiagnostic tools to study individual exposome and finally iii) understanding disease at a molecular level using single cell genomics technologies. This Research Topic will collect articles focusing on technological advances to move the technological frontiers in endocrinology forward at different systems levels. Though e-Diagnostics, monitoring, and e-Consult technologies are in their infancy, they have an enormous potential to improve access to endocrinologists by providing timely, highly rated, practice-changing clinical advice while reducing the need for patients to attend face-to-face office visits.
This Research Topic will encompass articles covering the following areas:
• Analysis and integration of exposome based on specific external factors such as individual physical activity and diet, along with transcriptomic and proteomic data, reflecting complex factors such as climate, urban vs. rural living and social conditions towards personalized systems medicine in endocrinology
• Access to web-based electronic endpoint adjudication systems and innovative monitoring techniques, along with eConsult and eDiagnositic solutions.
• Application and integration of omics data for disease diagnosis, prognosis and treatment including genomics; transcriptomics, epigenomics, and metagenomics (characterizing communities of microorganisms).
• Artificial intelligence and machine learning to help in personalized data management, follow up of subjects with endocrinal disorders & pregnant women and handling their clinical and epidemiological data, computational resources, scalability, privacy, and ethical concerns.
• Advances in remote monitoring during health (pregnancy) and disease (endocrine disorders)
• Analysis of the complex interplay between various biological modalities related to preterm birth and other pregnancy-related and endocrinal pathologies
• A digital resource to build better predictive models by combining datasets of various sizes and modularity.
Researchers and academicians are welcome to contribute original research papers or reviews in all aspects of endocrine specific research including, genomics, pharmacogenetics, e-monitoring and interdisciplinary approaches for diagnosis and treatment towards precision medicine and personalized therapies to this Research Topic.
