Artificial Intelligence (AI) can detect low-glucose levels via ECG without fingerprick test

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Current methods to measure glucose requires needles and repeated fingerpricks over the day. Fingerpricks can often be painful, deterring patient compliance. A new technology for detecting low glucose levels via ECG using a non-invasive wearable sensor, which with the latest Artificial Intelligence can detect hypoglycaemic events from raw ECG signals has been made by researchers from the University of Warwick. Currently Continuous Glucose Monitors (CGM) are available by the NHS for hypoglycaemia detection (sugar levels into blood or derma). They measure glucose in interstitial fluid using an invasive sensor with a little needle, which sends alarms and data to a display device.


Artificial Intelligence (AI) can detect low-glucose levels via ECG without fingerpick test

#artificialintelligence

Current methods to measure glucose requires needles and repeated fingerpicks over the day. Fingerpicks can often be painful, deterring patient compliance. A new technology for detecting low glucose levels via ECG using a non-invasive wearable sensor, which with the latest Artificial Intelligence can detect hypoglycaemic events from raw ECG signals has been made by researchers from the University of Warwick. Currently Continuous Glucose Monitors (CGM) are available by the NHS for hypoglycaemia detection (sugar levels into blood or derma). They measure glucose in interstitial fluid using an invasive sensor with a little needle, which sends alarms and data to a display device.


Artificial intelligence can dramatically cut time needed to process abnormal chest X-rays

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IMAGE: This is professor Giovanni Montana, Chair in Data Science WMG, University of Warwick. New research has found that a novel Artificial Intelligence (AI) system can dramatically reduce the time needed to ensure that abnormal chest X-rays with critical findings will receive an expert radiologist opinion sooner, cutting the average delay from 11 days to less than 3 days. Chest X-rays are routinely performed to diagnose and monitor a wide range of conditions affecting the lungs, heart, bones, and soft tissues. Researchers from WMG at the University of Warwick, working with Guy's and St Thomas' NHS Hospitals, extracted a dataset of half million anonymised adult chest radiographs (X-rays) and developed an AI system for computer vision that can recognise radiological abnormalities in the X-rays in real-time and suggest how quickly these exams should be reported by a radiologist. In the process of building the AI system, the team developed and validated a Natural Language Processing (NLP) algorithm that can read a radiological report, understand the findings mentioned by the reporting radiologist, and automatically infer the priority level of the exam.


University of Warwick suspends 11 students over rape jokes

BBC News

Eleven students have been suspended from the University of Warwick after rape jokes made in a group chat emerged. Student online papers The Boar and The Tab obtained screenshots from a group message, with one talking about raping "100 girls". The Boar says 98 screenshots have been submitted as evidence. The university said it is "actively" investigating and would not comment further. The students that have been suspended are all men and are facing "disciplinary processes".


University of Warwick Job Search: Research Fellow or Senior Research Fellow (102493-0120)

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Research Fellow or Senior Research Fellow (Deep Learning for Health Trajectory Perdiction) The full-time fixed term post is available until 31st March 2023 (approximately 3 years). You will work with the Principal Investigator (Dr Leandro Pecchia), the project partners and the Warwick GATEKEEPER team for the successful execution of the project. Further information on the project can be read here https://www.gatekeeper-project.eu/ You will have a PhD in Biomedical Engineering or in a relevant discipline (e.g., Computer Science, Information Engineering, Applied Math or similar disciplines). The level of appointment (Research or Senior Research Fellow) will be determined by the successful candidate--s skills and experience, including a proven ability and achievement in research and the ability to generate external funding to support research projects.