By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Tagged with
healthcare
Latest Posts
The ZEUS laser at the University of Michigan has begun its commissioning experiments
4 minutes read
International team develops device for continuous, wireless nitric oxide monitoring
3 minutes read
Interdisciplinary team builds multi-task machine learning model for randomized controlled trial
Artificial intelligence (AI) is showing significant promise in medical imaging. To translate this promise to reality requires rigorous evaluation of these algorithms.
Although robots cannot replace human caregivers, they can provide support so that caregivers have more time to provide the personal, human touch.
3 minutes read
Interdisciplinary team tackles complexity of clinical data in perioperative care
As a physicist and ‘real techie’, Sofie Baselmans dedicated her career to creating healthcare technology. Always searching for the ‘perfect’ workplace, she worked in a hospital and in several corporate environments.
5 minutes read
Digital imaging giant Teledyne DALSA is one of the most senior residents at High Tech Campus Eindhoven. Using state-of-the-art X-ray detectors for medical, dental and industrial applications their ambition is to be both world and innovation leader in their field.
4 minutes read
Article #3 Electronics Innovation Series. As offices re-open the must embrace the use of data at a smart home scale.
New research from Carnegie Mellon University’s Bin He introduces a novel, AI-based dynamic brain imaging technology alternative which could map out rapidly changing electrical activity in the brain with high speed, high resolution, and low cost.
3 minutes read
In this episode, we talk about how researchers are developing tools to better understand how different microbial communities impact our health in an effort to reverse engineer them and the critical methodology used to 3D print functional heart ventricles.
Startups are pioneering a new era of drug discovery that’s cheaper, faster, and more accurate.
This student article proposes rapid protocols for clinical diagnosis of COVID-19 through the automatic analysis of hematological parameters using Evolutionary Computing and Machine Learning. These hematological parameters are obtained from blood tests common in clinical practice.
Article #8 of Improving Lives with Digital Healthcare Series: Advancements in electronics have transformed the healthcare sector. The focus is on improving the experiences of users by utilizing cutting-edge technologies like advanced drug delivery systems, wearables, surgical robots, and more.
