Medicine and Health Sciences Commons^™

Vibrational Spectroscopy Of Liquid Biopsies For Prostate Cancer Diagnosis, Dinesh Medipally, Daniel Cullen, Valérie Untereiner, G.D. Sockalingum, Adrian Maguire, T.N.Q. Nguyen, Jane Bryant, Emma Noone, Shirley Bradshaw, Marie Finn, Mary Dunne, Aoife M. Shannon, John Armstrong, Aidan Meade, Fiona Lyng

Articles

Background: Screening for prostate cancer with prostate specific antigen and digital rectal examination allows early diagnosis of prostate malignancy but has been associated with poor sensitivity and specificity. There is also a considerable risk of over-diagnosis and overtreatment, which highlights the need for better tools for diagnosis of prostate cancer. This study investigates the potential of high throughput Raman and Fourier Transform Infrared (FTIR) spectroscopy of liquid biopsies for rapid and accurate diagnosis of prostate cancer.

Methods: Blood samples (plasma and lymphocytes) were obtained from healthy control subjects and prostate cancer patients. FTIR and Raman spectra were recorded from plasma …

Comparability Of Raman Spectroscopic Configurations: A Largescale Cross-Laboratory Study, Shuxia Guo, Hugh Byrne, Shiyamala Duraipandian, Fiona Lyng, Claudia Beleites, Ute Neugebauer

Articles

The variable configuration of Raman spectroscopic platforms is one ofthe major obstacles in establishing Raman spectroscopy as a valuable physicochemicalmethod within real-world scenarios such as clinical diagnostics. For such real worldapplications like diagnostic classification, the models should ideally be usable to predictdata from different setups. Whether it is done by training a rugged model with data frommany setups or by a primary-replica strategy where models are developed on a‘primary’setup and the test data are generated on‘replicate’setups, this is only possible if the Raman spectra from different setups are consistent, reproducible, and comparable.However, Raman spectra can be highly sensitive to the …

Training And Technique Choices Predict Self-Reported Running Injuries: An International Study, Joe Warne, Allison H. Gruber, Roy Cheung, Jason Bonacci

Articles

The aim of this study was to describe the self-reported injury, training, and running technique choices of regular runners in four international regions. Design and Setting 756 participants began an expert derived self-report online survey in Ireland, USA, Hong Kong and Australia. Participants 325 participants completed the survey (age=38±10years; weight=68.0±13.1kg; height=1.70±0.10m). Main Outcome Measures Descriptive statistics are reported examining injury incidence and location; shoe and orthosis choices; and training and technique practices. A backwards logistic regression was implemented to examine associations between injury and training choices. Results 68.3% reported having an injury in the last year. 81.45% of these injuries …

Adaptive Background Correction Of Crystal Image Datasets: Towards Automated Process Control, Luke Kiernan, Ian Jones, Lauri Kurki, Patrick J. Cullen, Toufic El Arnaout

Articles

Improving the data descriptor calculation of crystal’s physical properties requires sophisticated imaging techniques and algorithms. It has been possible to construct 2D population balance models benefiting from characteristic measurements of both crystal’s length and width, compared to the single representative sizes used in 1D models. Our aim is to ameliorate the procedure of determining shape (and not only size) factors, in an automated fashion and directly from the process, for implementation in future models. Here, approaches suitable for real-time applications were employed including engineered imaging sensors and adaptive algorithms. We described the latter in detail for varying 2D image datasets. …