Goal 3: Advance Translational Research

Translational Bioinformatics Spanning Multiple Scales of Biologic Complexity to Implement Precision Pulmonary Medicine at the Po

What translational bioinformatics tools could be used in pulmonary medicine to allow multidimensional, multi-scale modeling of clinical and biomolecular data to assist clinical decision-making?

Tags (Keywords associated with the idea)

Is this idea a Compelling Question (CQ) or Critical Challenge (CC)? : Compelling Question (CQ)

Details on the impact of addressing this CQ or CC :

Deployment of bioinformatics tools to construct multi-dimensional, multi-scale models of pulmonary (mal)functioning from large heterogeneous data sets spanning biological molecules, subcellular compartments, signaling pathways, cells, tissues, organs, organ systems and clinical therapeutics trials to predict actionable precision medicine for clinicians at the point of pulmonary care.

Feasibility and challenges of addressing this CQ or CC :

A variety of existing powerful informatics methods for integrating a vast wealth of clinical and high-dimensional data across DNA to organism compartments to develop multi-scale modeling approaches to improve point-of-care precision medicine. Consistent with a continuous learning healthcare system, precision medicine modeling is recursive, tentative pending better understanding and therefore continuously learning.

Fundamental to implementation of precision medicine is the ability to extract heterogeneous data from basic and clinical research to be integrated systematically into clinical practice in a cohesive and large-scale manner. Deployment of precision medicine models to predict (mal)functioning progression and response the treatment in daily practice relies strongly on the availability of an efficient bioinformatics platform that assists in the translation of basic and clinical science knowledge.

Name of idea submitter and other team members who worked on this idea : NHLBI Staff


-2 net votes
10 up votes
12 down votes
Idea No. 74