The $40 Billion Healthcare AI Failure—And The EMR Divide Sabotaging Progress

Healthcare is investing billions in AI, yet most projects fail to scale. This analysis examines the EMR Divide and why only 4 ...
BMJ Open

Using virtual twin-based AI models to detect atrial fibrillation and improve stroke outcomes [TAILOR]: a multicentre prospective cohort study

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...
News-Medical.Net

Engineered womb lining model opens a window into embryo implantation

By engineering a system replicating the womb lining with high biological accuracy, researchers at the Babraham Institute and ...
RMD Open

Global social media use among rheumatology professionals: the EULAR SoMeR Study Group survey

Background/purpose Social media (SM) has become an indispensable tool in healthcare, providing platforms for networking and ...

Data Holds the Key in Slowing Age-Related Illnesses

More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.
BMJ Open

Development and validation of a risk prediction model for chronic kidney disease among adult hypertensive patients having follow-up at University of Gondar Comprehensive ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...
IEEE

Modeling and Control of a Photovoltaic-hydrogenbattery microgrid by Energetic Macroscopic Representation

Abstract: This paper proposed a macroscopic Energetic Macroscopic Representation (EMR) model for integrated photovoltaic-hydrogen-battery systems to address the challenges of intermittency and grid ...