Goal 3: Advance Translational Research

Translation of scientific information into clinical and public health asthma and allergies practices and programs

More evidence-based, scientifically proven interventions to ensure that scientific information is translated into clinical and public health practices and programs to reduce the burden of asthma and allergies on individuals, families and society

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Goal 3: Advance Translational Research

Developing Research to Address the Critical Problem of Nonadherence to Effective Treatments

A large gap in healthcare is nonadherence to proven effective treatments. One important area for reducing morbidity, mortality and cost for patients with chronic diseases that require frequent home, non-healthcare assisted, administration of treatment is the promotion of adherence to treatment recommendations.

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Goal 3: Advance Translational Research

Asthma self-management

Study patient-provider communication of asthma self-management requirements to see where gaps in communication may contribute to suboptimal self-management decisions. Examine patients’ decision-making in the home management of asymptomatic and acute. Compare different approaches to the delivery of asthma self-management education and best practices for supporting the patient as they gain competency in this area.

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Goal 2: Reduce Human Disease

Biomarkers and Response Predictors in Asthma

As the current chair of the Research and Training Division, I would like to convey that the AAAAI membership would like the NHLBI to consider the following in the development of its strategic plan: Given the development of specific biologic therapy for asthma, what are the biomarkers and predictors of response that will allow clinicians to choose the best therapeutic combination of medications (biologic and otherwise) ...more »

Submitted by (@wheeze)

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Goal 2: Reduce Human Disease

Precision medicine in non-malignant lung diseases

NIH has a major initiative in Precision Medicine, including whole genome sequencing. In contrast to cancer, mutations with large clinical effects are expected to be uncommon in most non-malignant chronic diseases, such as asthma and COPD. Other data types such as gene expression, biomarkers, and micro RNAs must be combined with clinical and imaging phenotyping to advance Precision medicine in non-malignant lung diseases. ...more »

Submitted by (@craighersh)

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