A new method to monitor blood flow in the brain helps neurosurgeons detect the risk of a stroke during surgery – and potentially prevent it. This could also be useful for other types of operations.
Through quantitative real-time monitoring of cell spatiotemporal dynamics, or cell changes over time, electrical impedance spectroscopy (EIS) could be used to predict cancer growth.
Manual calibration and parameter input in systems are time-intensive and error-prone, posing significant challenges across life sciences and hospitals. With a new generation of sensors, The Dickson Company aims to deliver a smarter, easier to use, and more autonomous monitoring solution.
Newly developed technology can detect breast cancer relapses up to five years in advance. This advance could represent a turning point in post-treatment follow-up, the researchers hope.
Researchers have found a way to observe clotting activity in blood as it happens — without needing invasive procedures. This could open the door to better treatment of coronary artery disease (CAD).
Discovering knowledge about side effects needs to be faster and better. In her oration, Prof. Dr. Agnes Kant, Professor by special appointment of Innovation of Pharmacovigilance, calls for more research on side effects. She also pleads for a fund for independent research on side effects.
Molecular testing provides a more convenient, personalized way of monitoring of heart transplant recipients, according to insights shared at the Annual Meeting and Scientific Sessions of the ISHLT.
An international research team has developed an intelligent device capable of monitoring the skin continuously and accurately detect temperature variations associated with inflammation and infection.
Could a t-shirt with sensors reduce the time patients need to stay in hospital after a urological surgery? A recent pilot study suggests it might.
A novel sensor placed on a patient’s head registers nanometric expansions of the skull in each cardiac cycle in real time to measure intracranial pressure more accurately and non-invasively.
Researchers have succeeded in producing sensors from single-wall carbon nanotubes that are suitable for detecting even minute changes in specific substances in the body, such as female hormones.
Periods of hypoglycemia in diabetes patients can cause impaired judgment and lead to traffic accidents. A new study shows that continuous glucose monitoring (CGM) devices can help mitigate this risk.
Machine learning models fail to detect key health deteriorations in the ICU: a new study reveals that 66% of critical injuries in hospitals would go unnoticed if the current AI models were put to use.
A newly-developed robot can detect medication side-effects in patients after heart arrhythmia treatment faster than a human doctor, while reducing the number of follow-up tests.
Analysing long-term ECG recordings for signs of heart abnormalities such as arrhythmias is a time-consuming process. New research finds that AI is better suited for this task than humans.
Researchers developed a smart patch capable of real-time biometric signal monitoring and drug delivery. Potential applications include glucose management, pain relief, and chronic disease treatment.
Detection of patient falls, unauthorized intrusions on hospital premises, and more: A new suite of AI tools is designed to enhance healthcare security and patient safety surveillance.
Women with type 1 or type 2 diabetes often have difficulty getting pregnant, due to complications from the disease, being obese or seriously underweight, or having conditions like polycystic ovary syndrome. Once pregnant, they face challenges of having a safe pregnancy and delivering a healthy baby. Recent advances in diabetes technology, including continuous glucose monitoring (CGM) and most…
Many aspects of long Covid are still poorly understood, so many sufferers have turned to self-monitoring via wearables. New research explores the benefits and drawbacks of this approach.
