Analytical, Diagnostic and Therapeutic Techniques and Equipment Commons^™

Multiplex Biomarkers In Blood, Veer Bala Bala Gupta, Ramani Sundaram, Ralph N. Martins

Research outputs 2013

Advances in the field of blood biomarker discovery will help in identifying Alzheimer's disease in its preclinical stage, allowing treatment to be initiated before irreversible damage occurs. This review discusses some recent past and current approaches being taken by researchers in the field. Individual blood biomarkers have been unsuccessful in defining the disease pathology, progression and thus diagnosis. This directs to the need for discovering a multiplex panel of blood biomarkers as a promising approach with high sensitivity and specificity for early diagnosis. However, it is a great challenge to standardize a worldwide blood biomarker panel due to the innate …

Retinal Vascular Biomarkers For Early Detection And Monitoring Of Alzheimer's Disease, Shawn Frost, Yogi Kanagasingam, Hamid Sohrabi, J Vignarajan, P Bourgeat, Olivier Salvado, Victor Villemagne, Christopher Rowe, S Lance Macaulay, Cassandra Szoeke, Kathryn A. Ellis, David Ames, Colin L. Masters, Stephanie Rainey-Smith, Ralph N. Martins

Research outputs 2013

The earliest detectable change in Alzheimer's disease (AD) is the buildup of amyloid plaque in the brain. Early detection of AD, prior to irreversible neurological damage, is important for the efficacy of current interventions as well as for the development of new treatments. Although PiB-PET imaging and CSF amyloid are the gold standards for early AD diagnosis, there are practical limitations for population screening. AD-related pathology occurs primarily in the brain, but some of the hallmarks of the disease have also been shown to occur in other tissues, including the retina, which is more accessible for imaging. Retinal vascular changes …

Prediction Models For Solitary Pulmonary Nodules Based On Curvelet Textural Features And Clinical Parameters, Jing-Jing Wang, Hai-Feng Wu, Tao Sun, Xia Li, Wei Wang, Li-Xin Tao, Da Huo, Ping-Xin Lv, Wen He, Xiu-Hua Guo

Research outputs 2013

Lung cancer, one of the leading causes of cancer-related deaths, usually appears as solitary pulmonary nodules (SPNs) which are hard to diagnose using the naked eye. In this paper, curvelet-based textural features and clinical parameters are used with three prediction models [a multilevel model, a least absolute shrinkage and selection operator (LASSO) regression method, and a support vector machine (SVM)] to improve the diagnosis of benign and malignant SPNs. Dimensionality reduction of the original curvelet-based textural features was achieved using principal component analysis. In addition, non-conditional logistical regression was used to find clinical predictors among demographic parameters and morphological features. …

The Identification Of Diagnostic Serological Autoantibodies For Cutaneous Melanoma, Pauline Zaenker

Theses: Doctorates and Masters

Abstract not available.

Magnetocardiography In Unshielded Environment Based On Optical Magnetometry And Adaptive Noise Cancellation, Valentina Tiporlini

Theses: Doctorates and Masters

This thesis proposes and demonstrates the concept of a magnetocardiographic system employing an array of optically-pumped quantum magnetometers and an adaptive noise cancellation for heart magnetic field measurement within a magnetically-unshielded environment.

Optically-pumped quantum magnetometers are based on the use of the atomic-spin-dependent optical properties of an atomic medium. An Mxconfiguration- based optically-pumped quantum magnetometer employing two sensing cells containing caesium vapour is theoretically described and experimentally developed, and the dependence of its sensitivity and frequency bandwidth upon the light power and the alkali vapour temperature is experimentally demonstrated. Furthermore, the capability of the developed magnetometer of measuring very weak …