Critical challenges in the assessment of aortic aneurysms are: (1) Availability of reliable animal models that simulate the human pathology, (2) Availability of molecular imaging resources – identification of biomarkers, development of targeted imaging probes and pre-clinical imaging methods, and plasma markers that predict whether an aneurysm is prone to rupture or dissection, (3) Bringing together a wide array of multi-disciplinary ...more »
Basic scientists and clinicians have different training and bring different perspectives to lung disease research. Additionally, mechanisms that facilitate interactions of scientists from different fields may improve communication and facilitate novel ideas for lung disease research. I would like to see a funding mechanism that encouraged such partnerships in addressing fundamental disease questions and/or treatments. ...more »
There is a need to encourage the development and growth of integrated and multi-disciplinary biomedical research skills needed to utilize emerging technology, infrastructure, and paradigms, including the development of competitive research training strategies that embrace the role of multi-institutional and professional scientific organization research collaboration.
It is essential to develop clinically viable, non-invasive, less expensive technologies for the surveillance of allograft rejection in heart transplant patients. Critical challenges that exist in the near term or long term surveillance after transplant is the unavailability of molecular and cellular level markers that can be non-invasively imaged and quantified detect rejection and thus improve patient survival. Development ...more »
1. NHLBI investments over the last decade in terms of genomic approaches have yielded many research findings. 2. Rapid analyses of early data identified the "low hanging" fruit (and perhaps some/many important results were missed); this limited the scope of translation (partly because of relatively limited discovery?) 3. Important data are being generated at much greater rate than the data are processed/analyzed thoughtfully. ...more »