32 research outputs found

    Mismatch in the Classification of Linear Subspaces: Sufficient Conditions for Reliable Classification

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    This paper considers the classification of linear subspaces with mismatched classifiers. In particular, we assume a model where one observes signals in the presence of isotropic Gaussian noise and the distribution of the signals conditioned on a given class is Gaussian with a zero mean and a low-rank covariance matrix. We also assume that the classifier knows only a mismatched version of the parameters of input distribution in lieu of the true parameters. By constructing an asymptotic low-noise expansion of an upper bound to the error probability of such a mismatched classifier, we provide sufficient conditions for reliable classification in the low-noise regime that are able to sharply predict the absence of a classification error floor. Such conditions are a function of the geometry of the true signal distribution, the geometry of the mismatched signal distributions as well as the interplay between such geometries, namely, the principal angles and the overlap between the true and the mismatched signal subspaces. Numerical results demonstrate that our conditions for reliable classification can sharply predict the behavior of a mismatched classifier both with synthetic data and in a motion segmentation and a hand-written digit classification applications.Comment: 17 pages, 7 figures, submitted to IEEE Transactions on Signal Processin

    Impulse oscillometry identifies peripheral airway dysfunction in children with adenosine deaminase deficiency.

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    Adenosine deaminase-deficient severe combined immunodeficiency (ADA-SCID) is characterized by impaired T-, B- and NK-cell function. Affected children, in addition to early onset of infections, manifest non-immunologic symptoms including pulmonary dysfunction likely attributable to elevated systemic adenosine levels. Lung disease assessment has primarily employed repetitive radiography and effort-dependent functional studies. Through impulse oscillometry (IOS), which is effort-independent, we prospectively obtained objective measures of lung dysfunction in 10 children with ADA-SCID. These results support the use of IOS in the identification and monitoring of lung function abnormalities in children with primary immunodeficiencies

    Gene therapy for the treatment of adenosine deaminase-deficient severe combined immune deficiency

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    Introduction: Adenosine deaminase (ADA) deficiency was the first human disease treated with gene therapy. Initial trials established proofs of concepts, but did not lead to cure of the severe combined immune deficiency that is the hallmark of this disease. A breakthrough trial combined gammaretroviral gene therapy with non-myeloablative conditioning of subjects unable to benefit from enzyme replacement therapy (ERT) with pegylated bovine ADA (PEG-ADA). Three additional trials have confirmed the ability of gene therapy to cure the clinical immune defect of ADA deficiency. Areas covered: This article reviews the development of gene therapy for ADA-SCID, compares the four trials that have been reported and discusses open questions remaining in the field. Expert opinion: Gene therapy may be regarded as standard of care for the majority of patients with ADA deficiency, along with allogeneic hematopoietic cell transplantation (HCT) or ERT. The appropriate sequencing of these treatments remains uncertain. While gammaretroviral gene therapy has been approved in Europe, remaining concerns about potential genotoxicity have led to further development, including the use of lentivirus vectors and modification of peri-transplant management. The ability of gene therapy to completely correct both the immunologic and non-immunologic manifestations of ADA deficiency remains to be demonstrated
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