Chronic Inflammation and Impaired Wound Healing: Biomarkers, Risk Assessment, Targeted Prevention and Personalised Medical Services
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Global Health".
Deadline for manuscript submissions: closed (12 October 2019) | Viewed by 309
Special Issue Editor
Interests: predictive preventive personalised medicine (PPPM/3PM); suboptimal health; vasospasm; cancer and metastatic disease; stroke; diabetes; cardiovascular disease; noncommunicable disorder; COVID-19; phenotyping; genotyping; molecular diagnostics; biomarker panels; patient stratification; individualized profiling; liquid biopsy; articifial intelligence; disease modeling
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Special Issue Information
Dear Colleagues,
Chronic inflammation and impaired wound healing – both are strong indicators of systemic defects and health impairments (e.g. vitamin and cardiovascular defects, relevant syndromes, metabolic disorder), which, if not recognised and treated well in time may lead to the development of severe pathologies such as cancer, amongst others. Many risk factors play a role in the progression from a disease predisposition to manifested pathologies. The journal issue is dedicated to the predictive diagnosis, risk assessment, patient stratification, targeted prevention and personalization of the treatment algorithms in the area based on the multi-professional expertise. Application of innovative healthcare strategies and tools is discussed such as population screening focused on the needs of young populations, international biobanking, multi-level diagnostics, and machine learning, amongst others. The paradigm shift from reactive medicine to predictive, preventive and personalised healthcare concepts will benefit affected individuals, the economy of the healthcare sector and the society as a whole.
Prof. Dr. Olga Golubnitschaja
Guest Editor
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Keywords
- Chronic inflammation
- Wound healing
- Biomarker panels
- Risk assessment
- Individualised patient profile
- Personalised treatment algorithms
- Related syndromes and pathologies
- Ageing
- Artificial intelligence
- Machine learning
- Biobanking
- Medical ethics
- Screening programmes
- Innovative strategies
- Predictive preventive personalised medicine
- Healthcare economy
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