The Global Syndemic of Modifiable Cardiovascular Risk Factors Projected From 2025 to 2050. [PDF]
Chong B +32 more
europepmc +1 more source
Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data
Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente +3 more
wiley +1 more source
Impact of Medical Therapies on Cardiovascular Risk Factors in Acromegaly. [PDF]
Wekesa R +3 more
europepmc +1 more source
This review explores the integration of microfluidic technology with organoid systems as an innovative platform for studying menopausea complex multi‐organ condition. By enabling precise simulation of inter‐organ communication and hormone responses, microfluidic organoids offer a physiologically relevant model for investigating menopausal syndrome and ...
Qianyi Zhang +4 more
wiley +1 more source
Beyond Thirst: Influence of Bicarbonate Mineral Water on Cardiovascular Risk Factors, Gastrointestinal Function, and Liver Health. [PDF]
Mansouri K, Storz MA, Hanh T, Hahn A.
europepmc +1 more source
Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring
Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim +8 more
wiley +1 more source
Contributions of lifestyle, education, and cardiovascular risk factors to the brain age gap. [PDF]
Stoitsas K +5 more
europepmc +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Artificial intelligence-predicted ECG age gap as a biomarker: bias-adjusted correlation with mortality and cardiovascular risk factors. [PDF]
Barthels M +6 more
europepmc +1 more source

