Food allergy is a growing public health concern, affecting a significant portion of the population. Accurate prediction of the severity of food allergy reactions is crucial for risk assessment, management, and informed decision-making regarding avoidance measures and emergency preparedness.
This Research Topic aims to explore the advancements, challenges, and future perspectives in predicting the severity of food allergy reactions. It will focus on evaluating the existing predictive factors, developing novel prediction models, and identifying biomarkers for assessing the severity of food allergy.
Specific themes of interest include but are not limited to:
1. Identifying and evaluating predictive factors associated with the severity of food allergy reactions
2. Development of prediction models to estimate the likelihood and severity of food allergy reactions
3. Identifying biomarkers that can serve as indicators of the severity of food allergy reactions
4. Validating and assessing the clinical applicability of predictive factors, prediction models, and biomarkers for food allergy severity
5. Discussion on the impact of the current limitations of predictive models of food allergy reaction severity on families, schools, and public accommodations.
All article types accepted by Frontiers are encouraged.
Keywords:
Food allergy, prediction models, biomarkers
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.
Food allergy is a growing public health concern, affecting a significant portion of the population. Accurate prediction of the severity of food allergy reactions is crucial for risk assessment, management, and informed decision-making regarding avoidance measures and emergency preparedness.
This Research Topic aims to explore the advancements, challenges, and future perspectives in predicting the severity of food allergy reactions. It will focus on evaluating the existing predictive factors, developing novel prediction models, and identifying biomarkers for assessing the severity of food allergy.
Specific themes of interest include but are not limited to:
1. Identifying and evaluating predictive factors associated with the severity of food allergy reactions
2. Development of prediction models to estimate the likelihood and severity of food allergy reactions
3. Identifying biomarkers that can serve as indicators of the severity of food allergy reactions
4. Validating and assessing the clinical applicability of predictive factors, prediction models, and biomarkers for food allergy severity
5. Discussion on the impact of the current limitations of predictive models of food allergy reaction severity on families, schools, and public accommodations.
All article types accepted by Frontiers are encouraged.
Keywords:
Food allergy, prediction models, biomarkers
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.