User profiles for Glen Wright Colopy
Glen Wright ColopyCenduit Verified email at podofasclepius.com Cited by 509 |
SAMHD1 is mutated recurrently in chronic lymphocytic leukemia and is involved in response to DNA damage
…, A Burns, AT Timbs, G Wright Colopy… - Blood, The Journal …, 2014 - ashpublications.org
SAMHD1 is a deoxynucleoside triphosphate triphosphohydrolase and a nuclease that
restricts HIV-1 in noncycling cells. Germ-line mutations in SAMHD1 have been described in …
restricts HIV-1 in noncycling cells. Germ-line mutations in SAMHD1 have been described in …
Improving the generation and selection of virtual populations in quantitative systems pharmacology models
Quantitative systems pharmacology (QSP) models aim to describe mechanistically the
pathophysiology of disease and predict the effects of therapies on that disease. For most drug …
pathophysiology of disease and predict the effects of therapies on that disease. For most drug …
[HTML][HTML] The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review
Weaning from mechanical ventilation in the intensive care unit (ICU) is a complex clinical
problem and relevant for future organ engineering. Prolonged mechanical ventilation (MV) …
problem and relevant for future organ engineering. Prolonged mechanical ventilation (MV) …
Bayesian optimization of personalized models for patient vital-sign monitoring
GW Colopy, SJ Roberts… - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
Gaussian process regression (GPR) provides a means to generate flexible personalized
models of time series of patient vital signs. These models can perform useful clinical inference …
models of time series of patient vital signs. These models can perform useful clinical inference …
Bayesian Gaussian processes for identifying the deteriorating patient
The step-down unit (SDU) is a high-acuity hospital environment, to which patients may be
sent after discharge from the intensive care unit (ICU). About 1- in-7 patients will deteriorate in …
sent after discharge from the intensive care unit (ICU). About 1- in-7 patients will deteriorate in …
Bayesian optimisation of Gaussian processes for identifying the deteriorating patient
Patient deterioration in the hospital ward is typically preceded by several hours of deranged
physiology, as measured by the patient's vital signs. Estimation of the expected trajectory of …
physiology, as measured by the patient's vital signs. Estimation of the expected trajectory of …
Gaussian processes for personalized interpretable volatility metrics in the step-down ward
GW Colopy, SJ Roberts… - IEEE Journal of Biomedical …, 2019 - ieeexplore.ieee.org
Patients in a hospital step-down unit require a level of care that is between that of the intensive
care unit (ICU) and that of the general ward. While many patients remain physiologically …
care unit (ICU) and that of the general ward. While many patients remain physiologically …
Clinical prediction models in Epidemiological studies: lessons from the application of Qrisk3 to UK Biobank data
Statistical models for clinical risk prediction are often derived using data from primary care
databases; however, they are frequently used outside of clinical settings. The use of prediction …
databases; however, they are frequently used outside of clinical settings. The use of prediction …
Likelihood-based artefact detection in continuously-acquired patient vital signs
Robust continuous monitoring of patient vital signs (VS) is limited by artefactual data yielding
measurements that are not representative of the patient's physiology. These artefacts are …
measurements that are not representative of the patient's physiology. These artefacts are …
Patient-specific physiological monitoring and prediction using structured Gaussian processes
… GLEN WRIGHT COLOPY received the BS degrees in mathematics and economics from
the College of William and Mary, the M.Sc. degree in applied statistics from the University of …
the College of William and Mary, the M.Sc. degree in applied statistics from the University of …