Model-based detection of endobronchial intubation.

To detect endobronchial intubation (EBI) noninvasively in real time, we developed a novel, automated, lumped model-based approach. The model uses routinely monitored airway pressure and flow as inputs. The specificity of the method in detecting EBI was determined by testing events of stiff chest wall (SCW) in the absence of EBI.

Enhancement of tumor thermal therapy using gold nanoparticle-assisted tumor necrosis factor-alpha delivery.

Tumor necrosis factor-alpha (TNF-alpha) is a potent cytokine with anticancer efficacy that can significantly enhance hyperthermic injury. However, TNF-alpha is systemically toxic, thereby creating a need for its selective tumor delivery. We used a newly developed nanoparticle delivery system consisting of 33-nm polyethylene glycol-coated colloidal gold nanoparticles (PT-cAu-TNF-alpha) with incorporated TNF-alpha payload (several hundred TNF-alpha molecules per nanoparticle) to maximize tumor damage and minimize systemic exposure to TNF-alpha.

Model-based detection of partially obstructed endotracheal tube.

Objectives: A five-element lumped pulmonary model was developed to estimate respiratory mechanics automatically and noninvasively. The model was applied to diagnose obstructed endotracheal tube. Events like bronchospasm and stiff chest wall were also tested to determine the specificity of the diagnosis.