About this Research Topic
The field of cerebrovascular diseases and cerebrospinal fluid disorders is a complex and evolving area of neurological research. These disorders present significant diagnostic and therapeutic challenges due to their diverse nature and intricate pathophysiological mechanisms. Recent advancements in molecular genetics and neuroimaging have significantly improved our understanding of these conditions, allowing for more precise identification of their underlying causes. Despite these advancements, there remain substantial gaps in our knowledge, particularly concerning the genetic features that contribute to these disorders. Ongoing exploration focuses on the integration of genetic insights into clinical practice and the development of novel diagnostic methodologies. While existing studies have highlighted the potential of next-generation sequencing and genome-wide association studies in identifying novel genetic variants, there is a pressing need for further investigation into how these genetic insights can be effectively applied in clinical diagnostics to enhance patient care.
This research topic aims to explore the genetic features of cerebrovascular diseases and cerebrospinal fluid disorders and their application in clinical diagnostics. The primary objective is to feature the latest advancements in genetics, pathophysiology, and diagnostics that can significantly enhance our understanding and clinical practice of these complex neurological conditions. Specific questions include the identification of new genetic biomarkers, their association with traditional diagnostic methods, and how these can improve diagnostic accuracy, predict disease progression, or monitor treatment response.
To gather further insights into the genetic and diagnostic landscape of cerebrovascular diseases and cerebrospinal fluid disorders, we welcome articles addressing, but not limited to, the following themes:
- Advanced genetic technologies and their application in the diagnosis of cerebrovascular disease and cerebrospinal fluid disorders.
- Development and clinical validation of novel genetic biomarkers for the early detection and management of these diseases.
- Genetic and epigenetic features of these disorders and their roles in underlying pathophysiology.
- Application of artificial intelligence in big health data and multiomics data to refine diagnostic techniques toward personalized medicine.
- Clinical studies that illuminate unique diagnostic challenges and solutions within the realms of cerebrovascular and neurogenetic medicine.
This research topic aims to explore the genetic features of cerebrovascular diseases and cerebrospinal fluid disorders and their application in clinical diagnostics. The primary objective is to feature the latest advancements in genetics, pathophysiology, and diagnostics that can significantly enhance our understanding and clinical practice of these complex neurological conditions. Specific questions include the identification of new genetic biomarkers, their association with traditional diagnostic methods, and how these can improve diagnostic accuracy, predict disease progression, or monitor treatment response.
To gather further insights into the genetic and diagnostic landscape of cerebrovascular diseases and cerebrospinal fluid disorders, we welcome articles addressing, but not limited to, the following themes:
- Advanced genetic technologies and their application in the diagnosis of cerebrovascular disease and cerebrospinal fluid disorders.
- Development and clinical validation of novel genetic biomarkers for the early detection and management of these diseases.
- Genetic and epigenetic features of these disorders and their roles in underlying pathophysiology.
- Application of artificial intelligence in big health data and multiomics data to refine diagnostic techniques toward personalized medicine.
- Clinical studies that illuminate unique diagnostic challenges and solutions within the realms of cerebrovascular and neurogenetic medicine.
Keywords: cerebrovascular diseases, multiomics data analysis, cerebrospinal fluid biomarkers, neuroimaging, whole exome sequencing, molecular genetics, neurogenetic disorders, artificial intelligence
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
