A5088070466- Traumatic Brain Injury and Neurovascular Disturbances
- Healthcare Technology and Patient Monitoring
- Machine Learning in Healthcare
- Traumatic Brain Injury Research
- S100 Proteins and Annexins
- Sepsis Diagnosis and Treatment
- Hemodynamic Monitoring and Therapy
- Non-Invasive Vital Sign Monitoring
- Fault Detection and Control Systems
- Cardiac Arrest and Resuscitation
- Cerebrospinal fluid and hydrocephalus
- Neurosurgical Procedures and Complications
- Congenital Heart Disease Studies
- Diabetes Management and Research
- Radiation Dose and Imaging
- Obstructive Sleep Apnea Research
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Dementia and Cognitive Impairment Research
- Neonatal and fetal brain pathology
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Time Series Analysis and Forecasting
- Schizophrenia research and treatment
- Advanced Sensor Technologies Research
- Artificial Intelligence in Healthcare
- Pancreatic function and diabetes
University of Glasgow
2009-2018
Universitätsklinikum Tübingen
2012
Addenbrooke's Hospital
2012
University of Cambridge
2012
Google (United States)
2009
University of Aberdeen
1988
The definition of cerebral perfusion pressure (CPP) secondary insults in severe traumatic brain injury remains unclear. purpose the present study is to visualize association intensity and duration episodes below or above CPP thresholds outcome. analysis was based on prospectively collected minute-by-minute intracranial (ICP) blood data outcome from 259 adult patients. relationship a certain threshold for with 6-month Glasgow Outcome Score visualized separately active deficient autoregulation...
Objective: A model for early detection of episodes increased intracranial pressure in traumatic brain injury patients has been previously developed and validated based on retrospective adult patient data from the multicenter Brain-IT database. The purpose present study is to validate this different cohorts recently treated pediatric patients. Design: Prognostic modeling. Noninterventional, observational, study. Setting Patients: validation cohort comprised recent San Gerardo Hospital Monza (...
The ability to predict adverse hypotensive events, where a patient's arterial blood pressure drops abnormally low (and dangerous) levels, would be of major benefit the fields primary and secondary health care, especially traumatic brain injury domain. A wealth data exist in care systems providing information on indicators patients hospitals (blood pressure, temperature, heart rate, etc.). It is believed that if enough these could drawn together analysed systematic way, then system built will...
Abstract Seventeen patients who had suffered a stroke in the previous 72 h have been studied using technetium 99m hexamethyl propylene amine oxime (HMPAO) to assess cerebral blood flow. Comparison of scan appearances and clinical signs were made all cases. Twelve repeat HMPAO 14 days later, together with further assessment. Good correlation between size site perfusion deficit was found patients. When results 12 scans examined at less accurate it seems unlikely that assessment infarction as...
MARD (mean absolute relative difference) is increasingly used to describe performance of glucose monitoring systems, providing a single-value quantitative measure accuracy and allowing comparisons between different systems. This study reports MARDs for the OneTouch Verio® meter clinical data set 80 258 points (671 individual batches) gathered as part 7.5-year self-surveillance program Methods: Test strips were routinely sampled from randomly selected manufacturer's production batches sent...
The ability to predict adverse hypotensive events, where a patient's arterial blood pressure drops abnormally low (and dangerous) levels, would be of major benefit the fields primary and secondary health-care, especially traumatic brain injury domain.A wealth data exists in healthcare systems providing information on health indicators patients hospitals (blood pressure, temperature, heart-rate etc).It is believed that if enough this could drawn together analysed systematic way, then system...
After severe traumatic brain injury (TBI), episodes of elevated intracranial pressure (ICP) are associated with poor outcome. Previously we developed a model to predict increased ICP, 30 minutes in advance, using the dynamic characteristics routinely monitored minute-by-minute ICP and mean arterial blood (MAP) signals [1]. The was data from Brain-IT database [2]. Here present external validation results this model, on more recent cohort adult TBI patients AVERT-IT project [3].
There are many serious and acute physiological conditions about which we have incomplete medical knowledge. To address this develop effective treatments it is often the case that a wealth of clinical data required for collection, analysis feedback. Whilst such exists typically held in variety different formats locations. This paper describes EU FP7-funded Avert-IT project (www.avert-it.org), has developed an integrated, real-time infrastructure (ICUnet) to specific issue prediction...
There are many serious and acute physiological conditions about which we have incomplete medical knowledge that can support optimal healthcare intervention. To develop effective treatments a wealth of clinical data is required for collection, analysis feedback. Such often does exist but typically held in variety different formats locations. This paper describes the EU FP7-funded Avert-IT project (www.avert-it.org), has developed an integrated, real-time grid infrastructure (Hypo Net) to...