Goal 1: Promote Human Health

Theoretical division of NHLBI

Many functional physiology, cellular physiology , electrophysiology, and other aspects are amenable to rigorous mathematical methods.NHLBI lacks a theoretical division where IDEAS expressed mathematically make testable predictions at multi scale levels. NHLBI LACKS A THEORETICAL DIVISION- although history has shown that virtually all original ideas have a mathematically expressible foundation, particularly when dynamic, ...more »

Submitted by (@sjk000)

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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?

Submitted by (@nhlbiforumadministrator)

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Goal 3: Advance Translational Research

Develop common-sense standards for obesity research

Obesity research is riddled with methodological problems that are rarely challenged, leading to the perpetuation of misinformation and interventions that do harm. Given the two-thirds of the population who are classified as higher weight and thus subject to these interventions, it is past time to clean up the basic scientific flaws in this research area. For a quick summary of a couple of these issues, see Poodle Science: ...more »

Submitted by (@dbdb00)

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24 net votes
44 up votes
20 down votes
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Goal 2: Reduce Human Disease

Does epinephrine improve outcomes in OHCA

Epinephrine is the primary drug that is used in resuscitation but observational studies and a few small RCT suggest that it improves short term but not long term outcomes. Factors such as timing, dose, quality fo CPR and post-resuscitation care all confound the issue. Large RCTs conducted at multiple centers are desperately needed to address this question.

Submitted by (@dayam0)

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3 up votes
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Goal 3: Advance Translational Research

Improving patient-clinician communication and decision-making for patients wiith serious heart, lung or blood diseases

How can we ensure that patients with serious heart, lung, or blood diseases fully understand their prognosis, treatment options, and the risks and benefits of those options and help them make decisions that fully incorporate their own personal values, goals, and treatment preferneces?

Submitted by (@jrc000)

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27 net votes
33 up votes
6 down votes
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Goal 2: Reduce Human Disease

How to organize artificial pulsatile propelling of blood maintaining the balanced circulation?

Venous pressure, being very low, distends (deforms) the ventricle - but due to elastic or viscous law of deformation? Elastic deformation depends on stress (pressure) only and the viscous one - on stress and time. When pressures are low you can't get large distention due to stress only (time-independent) unlike the case when you apply low stress and long time interval. If we want to use venous pressure as one of regulators ...more »

Submitted by (@yuri.astrakhan)

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Goal 3: Advance Translational Research

Palliative and hospice care for COPD patients

Does palliative care and/or hospice care as practiced across communities improve end-of-life care for COPD – specifically, does it reduce the burden of symptoms, improve HRQoL and satisfaction, reduce utilization in last 6 months of life (i.e. hospital visits, cost, invasive ventilation use, etc), improve the end-of-life experience, and increase the concordance of place of death to expressed patient preferences?

Submitted by (@k.willard)

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12 net votes
16 up votes
4 down votes
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Goal 4: Develop Workforce and Resources

Reproducibility Initiatives in Heart, Lung and Blood Research

Scientists feel tremendous pressure to publish numerous scientific papers in order to receive NIH funding and tenure at academic institutions. Cognitive biases of scientists and publication biases of journals that publish this barrage of papers will likely result in the publication of findings that are probably not reproducible (see "Why Most Published Research Findings Are False" by John P. A. Ioannidis in PLOS Medicine ...more »

Submitted by (@jalees)

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