Michael Farmer

John Collinge2
Camden Lo1
Roleen Sharma1
2John Collinge
1Camden Lo
1Roleen Sharma
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Currently, no treatment can prevent the cognitive and motor decline associated with widespread neurodegeneration in prion disease. However, we previously showed that targeting endogenous neuronal prion protein (PrP(C)) (the precursor of its disease-associated isoform, PrP(Sc)) in mice with early prion infection reversed spongiform change and prevented(More)
  • Paul T. King, Roleen Sharma, Kim O’Sullivan, Stavros Selemidis, Steven Lim, Naghmeh Radhakrishna +16 others
  • 2015
Nontypeable Haemophilus influenzae (NTHi) is a prevalent bacterium found in a variety of chronic respiratory diseases. The role of this bacterium in the pathogenesis of lung inflammation is not well defined. In this study we examined the effect of NTHi on two important lung inflammatory processes 1), oxidative stress and 2), protease expression.(More)
Alzheimer's disease (AD) is associated with pathological assembly states of amyloid-β protein (Aβ). Aβ-related synaptotoxicity can be blocked by anti-prion protein (PrP) antibodies, potentially allowing therapeutic targeting of this aspect of AD neuropathogenesis. Here, we show that intravascular administration of a high-affinity humanized anti-PrP antibody(More)
Much research has been devoted to the study of exclusively distance-learning paradigms for teaching various technological subjects, yet many students have not been satisfied with existing distance learning methodologies. This paper addresses a new approach called the cyber classroom, which combines the best practices of distance learning with traditional "(More)
BACKGROUND Bronchiectasis is a common disease and a major cause of respiratory morbidity. Chest pain has been described as occurring in the context of bronchiectasis but has not been well characterized. This study was performed to describe the characteristics of chest pain in adult bronchiectasis and to define the relationship of this pain to exacerbations.(More)
In many real-time object recognition applications, the system experiences conditions where the classification results are not reliable due to a variety of environmental or object poses where correct classification is difficult or even impossible. We propose that by tracking the motion and orientation of the object of interest, and fusing this information(More)
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