This Research Topic is dedicated to exploring genetic features of cerebrovascular diseases and cerebrospinal fluid disorders and their application in clinical diagnostics. It aims to feature the latest advancements in genetics, pathophysiology, and diagnostics that significantly enhance our understanding and clinical practice of these complex neurological conditions.
Cerebrovascular diseases and cerebrospinal fluid disorders encompass a diverse group of diseases, each presenting unique diagnostic and therapeutic challenges. Recent advancements in molecular genetics and neuroimaging have led to more precise identification and understanding of the pathophysiological mechanisms underpinning these conditions. This Research Topic seeks to highlight research that advances the boundaries of current diagnostic methodologies.
We are particularly interested in submissions that focus on the use of next-generation sequencing, genome-wide association studies, and other genetic analysis techniques that have unveiled novel genetic variants associated with these disorders. Additionally, this collection covers innovative methods in hemodynamic assessments and neuroimaging that provide deeper insights into the neurological and vascular contributions to these disorders.
Articles that investigate the identification of new genetic biomarkers and their association with traditional ones—whether molecular, hemodynamic, or imaging—that can improve diagnostic accuracy, predict disease progression, or monitor treatment response are highly encouraged. We welcome contributions that showcase how these sophisticated diagnostic tools can be integrated into clinical settings to optimize patient care.
The Research Topic will include, but is not limited to, the following areas:
- 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.
Contributions from researchers and clinicians who are leading the way in these diagnostic technologies and strategies are welcome. Through this Research Topic, we aim to provide a comprehensive platform for sharing knowledge and fostering interdisciplinary collaborations that will propel the field of cerebrovascular and neurogenetic disorders forward, ultimately leading to enhanced diagnostic and therapeutic outcomes.
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.
This Research Topic is dedicated to exploring genetic features of cerebrovascular diseases and cerebrospinal fluid disorders and their application in clinical diagnostics. It aims to feature the latest advancements in genetics, pathophysiology, and diagnostics that significantly enhance our understanding and clinical practice of these complex neurological conditions.
Cerebrovascular diseases and cerebrospinal fluid disorders encompass a diverse group of diseases, each presenting unique diagnostic and therapeutic challenges. Recent advancements in molecular genetics and neuroimaging have led to more precise identification and understanding of the pathophysiological mechanisms underpinning these conditions. This Research Topic seeks to highlight research that advances the boundaries of current diagnostic methodologies.
We are particularly interested in submissions that focus on the use of next-generation sequencing, genome-wide association studies, and other genetic analysis techniques that have unveiled novel genetic variants associated with these disorders. Additionally, this collection covers innovative methods in hemodynamic assessments and neuroimaging that provide deeper insights into the neurological and vascular contributions to these disorders.
Articles that investigate the identification of new genetic biomarkers and their association with traditional ones—whether molecular, hemodynamic, or imaging—that can improve diagnostic accuracy, predict disease progression, or monitor treatment response are highly encouraged. We welcome contributions that showcase how these sophisticated diagnostic tools can be integrated into clinical settings to optimize patient care.
The Research Topic will include, but is not limited to, the following areas:
- 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.
Contributions from researchers and clinicians who are leading the way in these diagnostic technologies and strategies are welcome. Through this Research Topic, we aim to provide a comprehensive platform for sharing knowledge and fostering interdisciplinary collaborations that will propel the field of cerebrovascular and neurogenetic disorders forward, ultimately leading to enhanced diagnostic and therapeutic outcomes.
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.